State of New Jersey Symposium on Homeland Security Research

October 29, 2003
Busch Campus Center, Rutgers University

Organizers:
Fred Roberts, Chair, RUHSRI and Director, DIMACS, froberts@dimacs.rutgers.edu
Program Committee:
Margaret Brennan, Chair, Cook College
Nabil Adam, CIMIC
Stanley Dunn, SOE
Richard Mammone, CAIP
Robert Snyder, EOHSI
Presented by Rutgers University Homeland Security Research Initiative (RUHSRI).

Abstracts:

Title: Securing Critical infrastructure and resources protection

Nabil Adam and Vijay Atluri, Rutgers University

Work in the area of ``border protection'' is aimed at providing decision makers around the country with the ability to extract and fuse information from multiple sources in response to a query while operating under a decentralized security administration. The system will utilize data available from different agencies, ports and customs divisions to supplement the profiling by targeting towards anomalies, and detect various flags raised by non-conforming shipments or abnormal behavior of inbound cargos and raise a combination of alerts. This also helps to identify the anomalous shipments before they even enter the country. This work is performed in close collaboration with US Customs.

Work in the area of drinking water safety and security is to develop an end to end early warning system (EWS) that is capable of detecting deliberate or accidental introduction of chemical, biological and radiological contaminants into a distribution system as well as into source water systems. It is accomplished by way of first placing the appropriate sensors, modeling the behavior of the level and extent of the threats and developing a decision support system to generate warnings and alerts. An important complement to the EWS is a surveillance monitoring system that focuses on public health surveillance of disease data in the population to identify outbreaks and sickness should a covert chemical or biological attack occur in a U.S. drinking water system.

The emergency response system being developed for the fourteen municipalities in Northern New Jersey provides an interconnected on-line spatial information to share and update for the purposes of planning sustainable development and Home Land Security. Available datasets include government buildings, police stations, firehouses, hospitals, building footprints etc. The system is intended for first responders such as firemen, police and Emergency Medical Services (EMS). The system will handle information needs for scenarios such as: locating known hazardous material storage sites, establishing the demographics of affected areas, locating hospitals, shelters and names of affected property owners. The system benefits 490,000 residents through a centralized data repository that can be updated within a multi-user environment.

These projects are supported through funding from NSF, NJMC and EPA for approximately $3.65M. It includes industrial partners such as IBM, SAP, American Waterworks Co, and government partners: NJ DEP, USGS, NJ Meadowlands Commission, Passaic Valley Water Commission and North Jersey District Water Supply Commission, US Customs.


Title: Cybersecurity

Nirwan Ansari, NJIT

Since several high-profile distributed denial of service (DDoS) attacks on major U.S. Web sites and servers, much interest and consideration have been paid to securing the Internet infrastructure as it continues to become a medium for a broad range of transactions. Secured data transmission, reception, and storage are of the utmost concern to facilitate various rapidly growing e-commerce applications. A number of approaches to security have been proposed, each attempting to mitigate a specific set of concerns. This talk highlights some of the NJIT research activities on various aspects of cybersecurity.


Title: Secure Agency Interoperation for Effective Data Mining in Border Control and Homeland Security Applications (Poster Presentation)

Vijay Atluri, Kirk Barrett, Francisco Artigas, Soon Chun, Lubo Liu, CIMIC, Rutgers University

This work is aimed at providing decision makers around the country with the ability to extract and fuse information from multiple sources in response to a query while operating under a decentralized security administration. The system will utilize data available from different agencies, ports and customs divisions to supplement the profiling by targeting towards anomalies, and detect various flags raised by non-conforming shipments or abnormal behavior of inbound cargos and raise a combination of alerts. This also helps to identify the anomalous shipments before they even enter the country. This work is performed in close collaboration with US Customs.


Title: End to End Early Warning Decision Support System for Dinking Water Safety and Security (Poster Presentation)

Vijay Atluri, Kirk Barrett, Francisco Artigas, Soon Chun, Lubo Liu, CIMIC, Rutgers University

The objective of the early warning system (EWS) is to to detect deliberate or accidental introduction of chemical, biological and radiological contaminants into a distribution system as well as into source water systems. It is accomplished by way of first placing the appropriate sensors, modeling the behavior of the level and extent of the threats and developing a decision support system to generate warnings and alerts. An important complement to the EWS is a surveillance monitoring system that focuses on public health surveillance of disease data in the population to identify outbreaks and sickness should a covert chemical or biological attack occur in a U.S. drinking water system.


Title: Interconnected Municipal Information for Home Land Security (Poster Presentation)

Vijay Atluri, Kirk Barrett, Francisco Artigas, Soon Chun, Lubo Liu, CIMIC, Rutgers University

The Fourteen Municipalities in Northern New Jersey are being interconnected on-line to share and update spatial information for the purposes of planning sustainable development and Home Land Security. The system benefits 490,000 residents through a centralized data repository that can be updated within a multi-user environment. Available datasets include government buildings, police stations, firehouses, hospitals, building footprints etc. The system is intended for first responders such as fireman, police and Emergency Medical Services (EMS). The system will handle information needs for scenarios such as: locating known hazardous material storage sites, establishing the demographics of affected areas, locating hospitals, shelters and names of affected property owners.


Title: A novel electro-hydrodynamic method for separating biological and non-biological substances for trigger devices of continuously operated BWA detection system (Poster Presentation)

D.J. Bennett (1,2), B. Khusid (1), C.D. James (2), P.C. Galambos (2), M. Okandan (2), D. Jacqmin (3), A. Acrivos (4), (1) New Jersey Institute of Technology, University Heights, Newark, NJ 07102 (2) Sandia National Laboratories, P.O. Box 5800, Albuquerque, NM 87185 (3) NASA Glenn Research Center, Cleveland, OH 44135 (4) The City College of New York, 140th Street & Convent Avenue, New York, NY 10031

A continuously operated system for the detection of biological weapon agents (BWAs) includes several major components. The purpose of the first component, the so-called smart trigger, is the collection and separation of biological agents (cells, viruses, and toxin molecules) from non-relevant background material. A second component is required to deliver a "clean" sample to a stand-alone detection system for the interrogation of distinct biological markers to discriminate between harmless and highly virulent strains of a particular pathogen, thus fulfilling the "detect-to-warn" function. In contrast to numerous designs of dielectrophoretic devices described in the literature, we [1] employ the synergism of the dielectrophoretic phenomena and field-induced phase transitions in polarizable colloids to selectively capture and concentrate specific analytes from a heterogeneous mixture based on the polarization properties of the particular analyte. This facilitates the introduction of complex raw samples such as saliva into the device, and by tuning these field-driven phenomena to the maximum response of the analyte of interest (immune cells, bacteria, etc.), a particular analyte can be spatially localized and concentrated as the suspending fluid is exchanged to remove contaminating background materials from the raw sample. Results from recent experiments are discussed. Theoretical criteria for successful separation are given.

The work was supported, in part, by grants from NASA, NAG3-2698 (B.K. and A.A) and DARPA through the Bioflips/Simbiosys Program, DAAH01-02-C-R083, (B.K.). D.B. thanks Sandia's MESA Institute and the NSF MAGNET/SEM program for support. Sandia is a multiprogram laboratory operated by Sandia Corporation, a Lockheed Martin Company, for the US Department of Energy under contract DE-ACO4-94-AL85000.

1. D.J. Bennett, B. Khusid, C.D. James, P.C. Galambos, M. Okandan, D. Jacqmin, A. Acrivos, Appl. Phys. Lett., 83 (22), 2003.


Title: Design of Trustworthy Software (Poster Presentation)

Larry Bernstein, Department of Computer Science, Stevens Institute of Technology

The study of trustworthy software has one goal of making software product available to users in the face of software errors. Availability is a mathematical concept that is the Mean Time-To-Failure divided by the Mean Time-To-Failure plus the Mean Time-To-Repair. The idea is to make the Mean Time-To-Failure as large as possible and the Mean Time-To-Repair as small as possible. Continuing with Reliability Theory we can express the Mean Time-To-Failure as the reciprocal of the failure rate. Using an exponential reliability model, the failure rate is the expected value of the reliability of the system. Quantitative concepts can be used to make software engineering tradeoffs and leads to the universal theory of reliability-based software engineering.

Research and experiments will validate these ideas. Specific investigations include: 1. Forcing 7/24 applications to be periodic using software rejuvenation. 2. Using specially trained, non-software people to read code for achieving code inspection defect reductions. 3. Bounding the range of component execution domains using the Sha component cascading approach. 4. Base lining a process and then measuring the effectiveness of new tools in improving software reliability. 5. Constraining language constructs following the Hansen recommendations.


Title: Information wall technology for crisis management of a biological or chemical weapon attack (Demo Presentation)

Brian Buckley, P. Lioy and Robert Snyder, Environmental and Occupational Health Sciences Institute

Crisis management during any even requires good planning and reliable information that is readily available to help in making critical decisions. Having that information during an attack by terrorists using biological or chemical weapon becomes especially important because the amount of time spent gathering such information may lead to additional loss of lives. Specifically, providing the decision makers with information on primary route of exposure, reactivity, medical intervention protocols source and direction of the agents movement as well as the geographical areas likely to experience the greatest loss of life, is one of the keys to good crisis management. Working with Quantum Leap Technologies, investigators at EOHSI have created an interactive format, termed an "information wall", which can receive data from remote sensors which identify and quantify the agent of concern. The wall has the capability to verify the composition of the agent, create a model of the plume using feedback data to modify the model as needed, make use of the USEPA AEGL data base for risk assessment, predict direction of the plume and potential health impacts at remote sites, deal with all toxicological and medical issues, protect emergency responders, and control the locations upon which impact will occur during the time of impact and in the post-impact period, and recommend remediation. Compilations of much of the available literature as well as modeling of an agents behavior are just part of the value added items that are an integral part of this information wall that also has a great potential for training crisis management personnel.


Title: Protecting New Jersey's Water Supplies from Infectious Materials, FMD Emergency Preparedness (Poster Presentation)

Gail Carter, NJ Department of Environmental Protection

Foot and Mouth Disease (FMD) is a highly infectious virus that sickens cows, sheep, pigs, deer, cloven footed animals, and exotic species. FMD can be spread by direct or indirect contact, via inhalation, comsumption, or reproduction. The virus survives and transports in air, water, soil, dry urine, and faeces. Frozen meat from infected carcasses contains viable virus when thawed. Vector animals include rats, squirrles, deer, and other wildlife. In addition to the highly publicized FMD epidemic in the United Kingdom in 2001, there have been over 25 outbreaks in the last decade. Once started an outbreak is difficult to stop. Disposal of tons of infected materials during an epidemic is a major concern. On-site burial is a primary disposal mechanism, Unfortunately, infectious virus can transport in ground and surface water to drinking water sources, thereby furthering the epidemic. Modeling was performed statewide to determine safe parcels to dispose of infectious material without compromising human or ecological drinking water sources. The mapped results can be used for any infectious epidemic of similar characteristics, where responders are faced with the disposal of tons of infectious waste which is extremely hazardous to transport.


Title: First Responder Behavioral Healthcare Symptomolgy, Post Mass Disaster (Poster Presentation)

Cherie Castellano, Program Director of Cop 2 Cop and WTC-RSVP

In 1998 New Jersey became the first state in the country to establish a law (BILL 1801) to mandate that funding be appropriated to our State Department of Personnel (State DOP) to create a statewide Crisis Intervention hotline. This hotline was later entitled "Cop 2 Cop" is a customized program utilizing retired police officers to provide peer support, police telephonic clinical assessments, established a "Police Provider Network", and provides Critical Incident Stress Management Services for all 40,000 law enforcement officers (+ families) in our state. UMDNJ-University Behavioral HealthCare received the contract to provide those services and has maintained the contract successfully to date.

Cop 2 Cop has received the ICISF World Congress Award, NJ Governor's award, Port Authority Police Department Rescuer Award and has been highlighted for recognition in publications such as the NY Times featured as "the only program of its kind in the country."

Cop 2 Cop received about 1,700 calls during its first year of operation, in its "start up" phase. Post 9/11 there was a 300% call increase and now have received over 9,200 calls to date. During 9/11 we responded in outreach Critical Incident Stress Management services to The Port Authority Police Department, Urban Search & Rescue Team (FEMA), NYPD and NJ police departments and we infused training, police stress therapy models & suicide prevention material into over 450 group sessions.

Through this contact Cop 2 Cop was able to gather and analyze the Top Ten Presenting Symptoms of First Responders, both pre and post a mass disaster (9/11). Utilizing data collected from 2000 ? 2003 Cop 2 Cop is able to breakdown the Behavioral Healthcare Symptoms of Law Enforcement Officers, and First Responders, and note how these needs shifted post 9/11.

After contact with over 1,900 rescuers from ground zero, and our successful and exclusive agreement to provide law enforcement CISM services for the Port Authority Police Department, specialty hotlines and programming such as 1-866-4PA-COPS, 1-866-WTC-NJTF(NJ FEMA team) we received a substantial grant award post 9/11/01 expanding our services through funding from the Department of Defense Appropriations Act 2002 (9/11 fund ) to expand on the hotlines we started as a result of 9/11 to include all First Responders in our state (100,000+) which is entitled "World Trade Center Rescuer Support Victims Program (1-866-WTC-RSVP)".


Title: Supply Chain Security and Sustainability (Poster Presentation)

Reggie Caudill, York Center for Environmental Engineering and Science, NJIT

The Nation's homeland security efforts must not only tighten our borders, but must also strengthen supply chain security without jeopardizing operational efficiency and economic performance. The supply chain encompasses business relationships that extend end-to-end across the economy from raw material suppliers through production, distribution and retailers to end-of-life product management. Much attention within the engineering and scientific community has focused on the technology of homeland security. However, more effort is needed to better understand the risks to industry and to develop operational and management strategies that sustain the robustness of the supply chain against any potential disruption-intentional or not.

This poster presentation will describe the analysis framework under development at NJIT to evaluate industry's vulnerabilities and the potential consequences of terrorism and other disruptions; to model, simulate and analyze risk associated with supply chain interruption; and, to translate this knowledge into decision support, execution and management strategies, metrics and procedures that can be applied across the supply chain.


Title: Influence of a Single Flash of White Light on Fine Motor Skills (Poster Presentation)

F.B. Chua (1), T.L. Alvarez (1), A.P. Daftari (1), R.M. DeMarco (2), M.T. Bergen (2), K.D. Beck (2), R.J. Servatius (3), (1) Biomedical Engineering, New Jersey Institute of Technology, Newark, NJ; (2) Neurobehavioral Research Laboratory, VA New Jersey Health Care System, East Orange, NJ; (3) Neurobehavioral Research Laboratory, VA New Jersey Health Care System and Department of Neuroscience New Jersey Medical School, East Orange, NJ.

Non-lethal devices have the potential to be the weapons of choice in crowd control, terrorist/hostage situations, and diffusion of domestic violence. However, to date, non-lethal weapons have had limited deployment. A critical factor in successfully and effectively deploying non-lethal weapons is the understanding of its bioeffects. Light energy is the key stimulus to the visual system and is used by the fine motor system (visual tracking). Saccadic oculomotor control is a sophisticated system responsible for locating objects in two-dimensional space. We investigated how a single burst of white light affects the neural strategy of locating an object through saccadic movement.Horizontal eye movements were recorded using the Skalar infrared limbus tracking system model 6500. Experiments took place in the dark where a subject initiated an experiment with a trigger button followed by a random delay to avoid subject anticipation. A flash of light was produced by a Grass photic stimulator model PS33 when the subject pressed a trigger button. A new target position was illuminated after a random delay. The control responses, 15 deg saccadic movements, were compared to 15 deg saccadic movements with a flash presented in the left, center, and right visual fields. The latency, time from stimulus onset to peak velocity increased when a flash was present in the experiment. The time to acquire an image within +/- 1 degree doubled compared to controls for the eleven subjects studied. Data show temporal changes occur as a result of flash presentation. Further research is needed to develop a light protocol sequence to maximize the behavioral suppression exhibited by light energy.


Title: UMDNJ Biodefense and Emerging Pathogens Research

Nancy Connell, Director, Center for BioDefense

The biodefense effort at Newark was built on historical excellence in TB research, epidemiology and community outreach, now one of the most comprehensive programs in the world, including 9 TB research labs at PHRI, 6 research labs at NJMS, and the NJMS National Tuberculosis Center. Study of tuberculosis led to creation of a technical infrastructure that was easily adapted to the study of bioweapon agents. Other research clusters include evaluation of mechanisms and clinical factors contributing to nosocomial drug resistant infections, such as Staphylococcus aureus (MRSA). Complimenting these approaches, NJDS has recently invested heavily in the immunogenetics and innate immunity of host response to bacterial infection. Additional expertise at NJDS exists in biofilm biology and the Center for Pharmacogenomics and Complex Diseases. There are nine labs on the Newark campus pursuing biodefense-related objectives with category A-C select agents including Bacillus anthracis (anthrax), Yersinia pestis (plague), Burkholderia mallei (glanders), Francisella tularensis (tularemia) and multidrug resistant Mycobacterium tuberculosis. A large group of scientists and physicians at NJMS and PHRI are conducting basic, clinical and public health research on viruses. The viruses include human pathogens such as the human immunodeficiency virus, hepatitis C virus, adenovirus, cytomegalovirus, severe acute respiratory syndrome (SARS) virus, hanta virus, dengue virus, monkey pox virus, influenza, and human herpes virus. An interdisciplinary and interdepartmental program has been formulated to ally direct virological studies with investigations of host responses and antiviral defenses. These programs reflect the strong emphasis on microbial pathogenesis, immune response and rapid diagnostics among the Newark campuses.


Title: High Speed Data Analysis at MassDAL (Poster Presentation)

Graham Cormode and S. Muthukrishnan, DIMACS / Rutgers CS

Three billion phone calls are made every day in the US. Thirty billion email messages are sent every day worldwide. These are massive data sources. The Massive Data Analysis Lab brings expertise from Algorithms, Databases, Networking, Systems and Engineering to bear on all all aspects of gathering, managing and mining massive data including text, telecommunications, sensor, epidemiological, location and other data. This poster will show several examples of work at MassDAL.


Title: Comparing progressive collapse due to large-scale fire in differing structural systems

Mark Dobossy, Graduate Student, Dept. of Civil and Environmental Engineering, Princeton University

In light of the events of September 11th, 2001, progressive collapse due to fire and blast has become a very important topic in structural engineering. Initial research, which was performed, as a part of the Princeton for New York (P4NY) initiative to investigate the performance of various building codes and structural systems under a randomized fire load will be presented. Using the Bankers Trust building in downtown Manhattan as a case study, a Monte Carlo computer program was written in order to compare the robustness of three structural systems in a fire. The program applies a randomized fire to a model of the structure. As members are heated, they weaken, and eventually fail. At specified time-steps, the survival of the structure is checked. Data is recorded as to when and how the structure failed. This data can then be used to create a time-to-failure distribution curve for each structural system, allowing a quantitative comparison. In addition to comparing structural systems, it is also possible to compare the survival time for various building codes. Initial results show redundancy in the gravity system of a structure plays a significant role in its survival time. With further analysis, it should be possible to enhance building codes, in order to extend the survival time (and hence escape time for occupants) for large structures in situations similar to 9/11.


Title: Teaching Students to Make Low Cost Robotic Rovers Controlled By Biological Signals (Poster Presentation)

Eamon Doherty (1), G. Bartsch (1), M. Lewis (1), and G. Stephenson (2), (1) Fairleigh Dickinson University, Computer Sciences & Eng; (2) Cincinnati Associates

The United States Defense Advanced Research Projects Agency has shown on its website that robotic rovers are becoming an important part of the defense arsenal as modern warfare becomes concentrated in urban areas. There is a need to have radio controlled robots that can climb steps, maneuver building rubble, and send live video back to a remote command post. The video can help decision-makers plan more effective methods to ensure a minimum loss of life in operations involving prisoner of war extraction or rescue operations in a low visibility hazardous environment. Robotic rovers are also important to minimize loss of life or injury for civilian first responders who must search for people in high intensity fires where there are toxic fumes and possibly structurally compromised buildings. Many civilian and military personnel say that the present generation of robotic rovers is good, but there needs to be more sensors for hands free control. First responders must often wear protective equipment from weather, environmental, or biological hazards that makes fine movements of hand controllers difficult. It is generally known from television that America's youth is very interested in robots and first responders by the number of popular shows available to them. It seems natural then to introduce low cost biologically controlled robot systems into the high school or university ciriculum to further interest in areas that are vital to our nation's safety and defense. This paper shows how a school can use an inexpensive radio controlled toy robot, a laptop, some electronic parts, a sensor switch, an electrode, and a visual c++ program to create low cost robotic rovers. Our limited experience with students creating robotic rovers has shown us that we can inspire young curious minds to make new innovations that could potentially advance the current generation of robots and thus help first responders.


Title: TeraHertz systems for Detection of Weapons of Mass Destruction

John Federici, NJIT

The need for homeland defense against weapons of mass destruction has prompted investigation of novel sensory detection modalities. Among the sensory modalities being advanced my NJIT are Terahertz Imaging and X-ray scattering. Terahertz imaging is a promising method for detection of concealed explosives, chemical and biological agents due the presence of spectroscopic fingerprints in the THz range as well as the ability of Terahertz radiation to propagate through most non-metallic materials. Advances in these sensory modalities for detection of weapons of mass destruction will be discussed.


Title: A Miniature Integrated Nuclear Detector System for Homeland Security (Poster Presentation)

Charles Gentile(1), Rick Mammone(1), Joseph Wilder(1), Steven Langish(2), Lew Meixler(2), (1) WISE Lab, CAIP, Rutgers University and (2) Princeton Plasma Physics Laboratory

The Princeton University Plasma Physics Laboratory (PPPL) and Rutgers University Center for Advanced Information Processing (CAIP) have developed a Miniature Integrated Nuclear Detection System (MINDS) for the detection of nuclear threats related to Homeland Security. Nuclear threats include those which upon triggering produce the uncontrolled dispersion of nuclear material or a so-called "dirty bomb". In a dirty bomb, an explosion is triggered with the objective of dispersing various toxic or radiologically hazardous radionuclides into an environment with the intent of causing radioactive contamination in a wide physical or sensitive area. The Miniature Integrated Nuclear Detection System is designed to detect the presence of suspect nuclear materials and identify the specific radionuclide or radionuclides in mixed ionizing radiation fields from potential nuclear threats. A fully deployed MINDS system is be capable of detecting X-ray, soft gamma, gamma and neutrons. A major feature is that the system compares, in software, the energy spectrum of the detected radionuclide with the spectrum of particular radiological materials that might be used in radionuclide based weapons, and can be programmed to specifically respond to those signatures, thus eliminating false positive alarms resulting from the movement and transportation of approved radionuclides such as medical and industrial shipments. The presence of false positives is a major concern of security personnel. The PPPL/Rutgers team has a major portion of the system operational and is preparing for field testing of the full system and associated software. An initial proof of principle demonstration has was conducted at PPPL in August, 2002, which demonstrated the system's ability to detect and identify a small amount of nuclear material inside of an inter-modal shipping container. In August, 2003 a second demonstration at PPPL showed the capability of the system to detect a small amount of nuclear material in a moving vehicle. The system is small enough to be mobile, and uses relatively inexpensive components. PPPL and Rutgers are preparing to commence testing on the MINDS system at the Brookhaven National Laboratory's Radiation Testing and Evaluation Center this fall.


Title: Assessing the Environmental Health Impact of Emergency Events: the World Trade Center Case Study (Poster Presentation)

Panos G. Georgopoulos, Paul J. Lioy, Gera Stenchikov and Shengwei Wang, UMDNJ-RWJMS

The MENTOR (Modeling ENvironment for TOtal Risk studies) system, under continuing development at the Computational Chemodynamics Laboratory (CCL) of EOHSI (Environmental and Occupational Health Sciences Institute), provides an integrated framework that links together a variety of: (a) databases (including both relational and geographic information sustem components) of environmental and microenvironmental attributes and contamination levels, demographic characteristics, human activities, exposure factors, physiological parameters, etc.; (b) models of environmental, microenvironmental, and biological processes; (c) diagnostic computational tools for data mining, management and analysis; and (d) state-of-the-art Bayesian methods for model/data "fusion". The integrated and systematic use of these information/analysis components aims to support mechanistically consistent, source-to-dose, assessments of exposures to contaminants, for individuals and populations. A special adaptation of this system is currently being configured and implemented for New York City and the surrounding area, with the objective to support assessments of the exposure and health impact of the contaminants released from the World Trade Center (WTC) fire and collapse on September 11, 2001 and from the fires and activities during the days that followed. In this implementation, atmospheric transport and fate processes are modeled using the prognostic multiscale RAMS/HYPACT platform (Regional Atmospheric Modeling System combined with the Hybrid Particle & Concentration Transport module), while baseline population exposure distributions are developed using the SHEDS (Stochastic Human Exposure and Dose Simulation) approach. A WTC-specific geodatabase, that incorporates multiple environmental, microenvironmental, demographic, etc. components, compiled by various federal, state, and city agencies as well as academic groups, has been developed to complement this implementation of the modeling system and support various case studies that have either been completed or are currently ongoing.


Title: Demolition and Explosive Neutralization Device (Poster Presentation)

Ernest Geskin, ME Department, NJIT

A Device termed Water Cannon suitable for demolition of obstacles and neutralization of an explosive devices was developed. The device consists of a barrel, where water slug and a powder charge are located, a striker for the charge initiation and the nozzle for the slug acceleration. The products of the powder combustion accelerate the slug similarly to the acceleration of a solid projectile in a gun barrel. In the case of the fluid the additional acceleration is attained due to the superposition of the shock and rarefaction waves. The principal acceleration, however, is achieved in the nozzle. As the result, the water velocity exceeding 2000 m/s can be achieved. At such velocity the slug impacting a target acts similarly to the explosive deposited on the target surface. The experimental results including the demolition of reinforced concrete, piercing steel plates and neytralization of the explosives are presented. The water cannon constitutes a portable device for obstacles (wall. Debris) destruction and explosion neutralization.


Title: Increasing Accuracy of Nonverbal Clue Detection: Training Homeland Security Personnel (Poster Presentation)

Amy Marie Keller, Sinuk Kang, Belida H. Uckun, Maggie Herbasz, Dr. Mark Frank, SCILS, Rutgers University

This study explores the potential to train laypeople, law enforcement and military officials to recognize facial microexpressions. Microexpressions are facial movements that may last only a fraction of a second, yet are typically difficult or impossible to mask, as they seem to be Darwinian responses to emotion. It may be possible to apply our findings to the detection of deception.


Title: An Operational New York Harbor Port Security and Vessel Traffic Management System

Tom Herrington (with Alan F. Blumberg, Michael S. Bruno and Patrick White), Stevens Institute of Technology Research

The New York Harbor Vessel Operation Support System combines existing and new vessel and ocean observing and forecasting systems to provide real-time, secure information regarding present ocean and weather conditions in the vessel operating region. Continuously-updated forecasts regarding future (out to 48-hours) ocean and weather conditions in the vessel operating region are produced as part of the system as is continuous, real-time information regarding vessel positions and wakes in the region. This later information is used for security assurance of Harbor navigation via small ship surveillance and to assess the impact of vessel speed and route modifications. A large portion of the observations are publicly available in near real-time via the Internet, after passing QA/QC procedures.

The New York Harbor Observation and Prediction System (NYHOPS) includes the Princeton Ocean Model (POM? a three dimensional, littoral ocean circulation model) in a high resolution configuration mode for the Hudson-Raritan Estuary, and a comprehensive ocean observing system based on shore-based and moored sensors for currents, salinity, temperature, turbidity, and pressure, a CODAR High Frequency Surface Wave RADAR system for the broad-area measurement of surface currents and waves and ferry-based conductivity and temperature sensors. The data is received at the Stevens control center via a secure wireless transmission system.

Results from the application of NYHOPS will be presented to demonstrate the role of circulation and mixing in distributing contaminants throughout the harbor. That role will be elucidated in this presentation using an animation of a model calculation of the movement over time of a dye released at the surface from a point just north of the tip of Manhattan, NY. It will be revealed that the released dye will rapidly disperse throughout most of the estuary and move seaward only slowly over time. The dye spreads rapidly from its point of release up the Hudson River along Manhattan, into the East River to Long Island Sound, and into the Hackensack River and Newark Bay.


Title: Nursing Center for Bioterrorism and Emerging Infectious Diseases (Poster Presentation)

Felissa R. Lashley and Marie T. O'Toole, College of Nursing, Rutgers University

Since the events of 9/11, disaster prevention, early bioterrorism recognition and prompt treatment have become a high priority among lawmakers, members of the health care community and educators around the state and nation. In response to the need for information for health care providers, a Nursing Center for bioterrrorism and infectious disease preparedness was established in June, 2003 at the Rutgers, College of Nursing.

The College of Nursing held an open dialogue with nursing executives, educators and state agencies to explore issues related to nursing education and practice needs. The outcome of that dialogue indicated a need for a coordinating entity- the Nursing Center for Bioterrorism and Infectious Diseases Preparedness is that entity.

The Nursing Center for Bioterrorism and Infectious Diseases Preparedness serves as a primary source of education, information and research initiatives for nurses, nurse practitioners, and all allied nursing personnel on practice matters relating to biological, chemical and nuclear terrorism as well as emerging infectious diseases. A Webpage (http://bioterrorism.rutgers.edu) has been established and traditional, as well as web based learning activities, have been developed to create multiple mechanisms to provide appropriate and timely educational opportunities.

The Nursing Center has created integrated and coordinated objectives that include the following:


Title: A Summary of EOHSI Research on Rapid Risk Assessment for Homeland Security Issues

Paul Lioy, Deputy Director, Environmental and Occupational Health and Science Institute (joint UMDNJ-Rutgers)

The presentation will outline our current research on homeland security including our efforts to develop and modify approaches needed for rapid risk assessment or, more accurately, rapid risk response assessment. It will focus on our conceptual and practical approaches for achieving rapid response as a result of the contact with either biological, chemical or physical agents released to environmental media, and the subsequent acute exposure and dose, and potential effects. Examples of our multi-collaborator efforts will be highlighted including activities on model simulations, problem definition, toxicology, and translation to the information to stakeholders. Included will be initial application to address air exposure pathway issues from the perspective of the magnitude and extent of impact, emergency response and planning and training.


Title: Computational Tools to Support Exposure Characterization within an Integrated Biological and Chemical Warfare Defence Platform (IBCWD) (Poster Presentation)

Paul Lioy and Panos G. Georgopoulos, UMDNJ-RWJMS

An Integrated Biological and Chemical Warfare Defence Platform (IBCWD) is currently being developed by a consortium of universities,non-profit research institutes, and software developers for the Office of Naval Research Laboratory (ONRL). This prototype is a proof-of-concept system directed at creating and evaluating scenarios and plans of action to be carried out by emergency management agencies that are preparing to respond to a public health threat from a a chemical or biological warfare agent (CBWA). Scenarios and plans are developed and compared by the user and the system, after the prototype system has characterized and presented likely public health threats. Specifically, probabilities of outbreaks of infectious diseases, such as anthrax,are inferred or "fused" from simulated hospital records, laboratory tests, biological and weather sensors and text sources. Several diseases may be indicated, and the system user is encouraged to explore the situation - using several navigational tools - for planning, training or responding purposes. Potential spread of disease is calculated from weather conditions, speculations regarding source and release conditions, and detailed dispersion models. The work presented here focuses on the applicability requirements for atmospheric models and the limitations of available modeling tools.


Title: Surveillance Tools for Public Health Data and for Message Streams

David Madigan, Center for Discrete Mathematics and Theoretical Computer Science (DIMACS) and Department of Statistics

This talk will provide brief descriptions of two current research activities at DIMACS that approach surveillance using somewhat related tools. The DIMACS Working Group on Adverse Event and Disease Surveillance brings together over fifty public health professionals with computer scientists and statisticians and focuses on analytical methods for surveillance of multiple data streams. The goal is to detect new disease outbreaks or bioterrorist attacks. The diversity of the data streams, ranging from sales figures for cough medications to free-text chief complaints in emergency rooms, presents a significant technical challenge. The DIMACS "Monitoring Message Streams" project involves Rutgers researchers as well as AT&T Labs and Telcordia and focuses specifically on the analysis of streams of text data. The primary motivation is to create tools that assist intelligence analysts in identifying new "events" that might be precursors of terrorist activity.


Title: Enhancing the Performance of Face Recognition Systems (Poster Presentation)

Richard Mammone, Aparna Krishnamoorthy, Anand Doshi, Robert Utama, Joe Wilder, Christine Podilchuk, WISE Lab, CAIP, Rutgers University

Face detection, recognition and tracking systems can be crucial elements in combating terrorism. Tests of these systems in natural environments, such as border crossings and airports, showed that there is still a long way to go, if robust performance in large volume applications is to be achieved. Much wider variations in illumination, pose, scale, motion and appearance between the collection of the gallery images in the database and the probe images must be accommodated, if face processing systems are going to be practical. This project involves a program of research in the area of preprocessing faces, using adaptive signal recovery and restoration concepts, with the goal of improving the performance of both face detection/tracking/registration systems and face recognition systems.

Sponsor: Combating Terrorism Technology Support Office and Technical Support Working Group (TSWG)


Title: Packet Anomaly Intrusion Detection (PAID) System (Poster Presentation)

Constantine N. Manikopoulos and Zheng Zhang, NJWINS and ECE/NJIT

The Packet Anomaly Intrusion Detection (PAID) is an anomaly Intrusion Detection System (IDS) that focuses on the detection of Denial of Service (DOS) attacks, originally developed for the US Army's Tactical Internet. It uses a hierarchical, multi-tier, multi-time window approach that operates automatically, adaptively and proactively. It can be applied to wired and wireless networks. The current version of PAID operates as a network-based IDS. Future versions could work as a host-based IDS as well. The system uses statistical models and multivariate classifiers to detect anomalous network conditions. The monitoring process utilizes multi-layered time windows, ranging from a few seconds to several hours or more, each layer aggregating the layer below. PAID monitors many network parameters simultaneously. It analyzes these parameters statistically, combines individual parametric decisions intelligently, and derives an integrated detection result.

There are several innovative features in PAID. The decision process is based on calculations using probability density functions (PDFs) rather than individual or averaged sampled values to detect intrusions. This provides low false alarm rates. In each real time observation window, the statistical component builds and analyzes PDFs of the monitored network parameters. It compares these PDFs to reference PDF models of normal activity using a similarity metric. This statistical analysis transforms the observed status data into a multidimensional vector, the anomaly status vector (ASV). This vector is fed to a multivariate classifier.

The time window-stamped ASV is the basic unit for further analysis in PAID. It is a compact but highly informative unit that represents the network anomaly status during the associated observation window. This reduces the representational complexity of temporal profiles for event-sequence analysis systems and the corresponding computational load. PAID combines the information of all the monitored performance parameters into one integrated and unified decision result. This combination achieves higher discrimination and a more robust decision process than other approaches.

PAID has been tested using the DARPA'98 corpus of data. Summary results over all 20 days that include DOS/DOS-like attacks are given in the table below.

Summary of all DOS detection results on the DARPA'98 corpus of attacks.
Total number of samples 39015
Total number of attacks 1060
Total number of misclassifications 50
Total number of false positives 35
Total number of false negatives 15
Total misclassification rate 0.001281560
Total false positive rate 0.000898242
Total false negative rate 0.014150900






















It is seen that the overall DOS detection results over about 39000 samples give 0.128% misclassification, 0.0898% false positive and 1.42% false negative rates. These are very impressive, highly competitive and strongly encouraging results for the practical application of the PAID DOS IDS system. Moreover, as shown in earlier reports and publications the PAID system generates alarms very early at the onset of the DOS attacks, at attack traffic levels as small as 3% of the background traffic. This is highly desirable as an early warning system.


Title: Mobile Sensor Networks and Homeland Security

Margaret Martonosi, Associate Professor, Dept. of Electrical Engineering, Princeton University

Wireless sensor networks are currently being researched and deployed for environmental research, wildlife tracking, traffic monitoring, and many other uses. These networks combine autonomous computers, sensors, and wireless communication for information gathering and processing. In ongoing work, the Princeton ZebraNet group has built wireless sensing devices that combine GPS, compute, and radio transceivers for wildlife tracking applications across sparsely-populated areas, with little communications infrastructure. In this talk, I will discuss the use of these mobile sensor networks for applications here in New Jersey, including security applications for highways and harbors. I will also discuss the design challenges of creating effective mobile sensor networks under challenging cost and energy constraints.


Title: Domestic Preparedness: UMDNJ's Role in Homeland Security

Brendan McCluskey, UMDNJ Center for BioDefense

The UMDNJ Center for BioDefense was formed in 1999 by the visionary forward-thinking of key researchers and UMDNJ's leadership. While the Center was initially founded to conduct basic science research, looking for novel detection strategies for select agent and other emerging infectious diseases in humans, in early 2001 the Center began to expand capability and capacity. Well before the 9/11 and anthrax attacks of that year, the Center was becoming involved with emergency preparedness and response, clinical and hospital preparedness, and public health preparedness. With the philosophy that first responders included not only police, fire, and EMS departments, but also hospitals, public health officials, and others, the Center set out to develop training and education programs, assist with policy formulation, conduct "soft" research, and help ensure that New Jersey's responders were the best prepared in the nation. The Center is but one shining example of the possibilities of engaging academia with other sectors, including government, private business, emergency responders, and the community, to really make our nation and our state safer. Through relationship-building, open communication, and collaborations, along with keeping in mind that no one agency or organization can solve all homeland security problems by themself, the UMDNJ Center for BioDefense, through its integration with government, emergency responders, business, and the community, is building a model that other academic institutions can borrow, build on, and use to ensure success in this emerging field.


Title: UMDNJ Center for BioDefense and Homeland Security (Poster Presentation)

Brendan McCluskey, UMDNJ Center for BioDefense

The Center for BioDefense will present all aspects of work, including basic science research, emergency preparedness and response, clinical/hospital preparedness, and public health preparedness. In addition, we will be giving a demonstration of some of our projects, our website, and our resources, including a portable weather station that we would like to set up outside. In addition, we will have a live hook-up to our website, providing conference attendees with an opportunity to take an educational survey, and look over our site.


Title: A Miniature Integrated Nuclear Detector System for Homeland Security

Lewis D. Meixler, Head of Applications Research and Technology Transfer, Plasma Physics Laboratory, Princeton University

The Princeton University Plasma Physics Laboratory (PPPL) and Rutgers University Center for Advanced Information Processing (CAIP) have developed a Miniature Integrated Nuclear Detection System (MINDS) for the detection of nuclear threats related to Homeland Security. Nuclear threats include those which upon triggering produce the uncontrolled dispersion of nuclear material or a so-called "dirty bomb". In a dirty bomb, an explosion is triggered with the objective of dispersing various toxic or radiologically hazardous radionuclides into an environment with the intent of causing radioactive contamination in a wide physical or sensitive area. The Miniature Integrated Nuclear Detection System is designed to detect the presence of suspect nuclear materials and identify the specific radionuclide or radionuclides in mixed ionizing radiation fields from potential nuclear threats. A fully deployed MINDS system is be capable of detecting X-ray, soft gamma, gamma and neutrons. A major feature is that the system compares, in software, the energy spectrum of the detected radionuclide with the spectrum of particular radiological materials that might be used in radionuclide based weapons, and can be programmed to spedicially respond to those signatures, thus eliminating false positive alarms resulting from the movement and transportation of approved radionuclides such as medical and industrial shipments. The presence of false positives is a major concern of security personnel. The PPPL/Rutgers team has a major portion of the system operational and is preparing for field testing of the full system and associated software. An initial proof of principle demonstration has was conducted at PPPL in August, 2002, which demonstrated the system's ability to detect and identify a small amount of nuclear material inside of an inter-modal shipping container. In August, 2003 a second demonstration at PPPL showed the capability of the system to detect a small amount of nuclear material in a moving vehicle. The system is small enough to be mobile, and uses relatively inexpensive components. PPPL and Rutgers are preparing to commence testing on the MINDS system at the Brookhaven National Laboratory's Radiation Testing and Evaluation Center this fall.


Title: Impact of 2001 WTC Attack on NYC Critical Infrastructure (Poster Presentation)

David Mendonca, Information Systems Dept., NJIT

Critical infrastructure systems provide services that are essential to both the economy and well-being of nations and their citizens. It is therefore of vital importance that these services not be degraded, whether by willful acts such as terrorism or by natural or random events such as earthquakes, design flaws or human error. Yet infrastructure systems and the organizations that manage them are now recognized as components of highly-coupled systems that increasingly rely on one another in order to deliver key services. This research is resulting in methods for modeling interdependencies among critical infrastructure systems and for developing tools to assist in the management of these interdependencies.


Title: Starting Over: Cleaning Up the World Trade Center Site After 9/11 (Poster Presentation)

David Mendonca, Information Systems Dept., NJIT

Post-disaster debris removal is necessary for recovery, response and reconstruction. This research is investigating decision making during cleanup operations following the 2001 World Trade Center attack. Of particular interest is the placement and use of debris removal equipment (such as cranes and grapplers) during response and recovery. This research is intended to produce a better understanding of how innovation under time pressure can be fostered while preserving safety and effectiveness.


Title: Computer vision approaches to identifying people and possible malfeasant behavior

Dimitris Metaxas and Mark G. Frank, Rutgers

A potentially fruitful collaboration between our previously independent research traditions (behavioral science and computer vision) has led to some promising applications of computer vision techniques toward identifying not only individuals, but also behaviors associated with imminent attack, weapons possession, and detecting deception. We will briefly describe our recent findings in identifying specific individuals from gait, and how that technology can be applied toward identifying those dynamic behaviors associated with possible malfeasance we have uncovered using behavioral science techniques in conjunction with our current work with law enforcement and counter-terrorism personnel. Finally, we will discuss the potential application of this technology for face-hand interaction and stress level monitoring that can be useful in settings such as security checkpoints, public spaces, and interpersonal interrogations.


Title: New Jersey Center for Public Health Preparedness

Glenn Paulson, UMDNJ-School of Public Health

The New Jersey Center for Public Health Preparedness, established at the UMDNJ-School of Public Health, is one of the nation's 21 Academic Centers for Public Health Preparedness (A-CPHP). Funding is provided by the Centers for Disease Control & Prevention (CDC) and through the Association of Schools of Public Health.

The New Jersey Center develops and provides education and training designed to ensure that public health and health care workers are prepared to respond to any biological, chemical, radiological, or nuclear threats or emergencies, as well as infectious disease outbreaks and natural disasters. The Center will build upon the School of Public Health's extensive experience in preparing professionals to manage hazardous chemicals and wastes, and bioterrorism events. During the next year the Center will emphasize preparedness for chemical and nuclear/radiological threats and events, protecting the safety and health of emergency responders, and employing traditional and innovative training methods to provide better education to public health professionals, medical professionals and the general public.


Title: Homeland Security Risk Analysis, Requirements Analysis and Process Modeling, Integrated Into an Analytical, and Web-browser Readable 3D Interactive Multimedia Architecture (Poster Presentation)

Paul G. Ranky, Department of Industrial and Manufacturing Systems Engineering, NJIT

An object / component - oriented system design is presented with practical DOD applications, for the purpose of analyzing and assessing homeland security risks, requirements, and related processes, integrated into an analytical, and web-browser readable, 3D interactive multimedia architecture. The presentation will include live software demonstrations.


Title: Overview of Homeland Security Research at Rutgers

Fred S. Roberts, Director of Center for Discrete Mathematics and Theoretical Computer Science (DIMACS) and Chair of Rutgers University Homeland Security Research Initiative

This presentation will survey the extensive homeland security research taking place at Rutgers, ranging through work on:

*protecting the critical infrastructure (buildings, transportation systems, communication systems, and the food, air, and water);

*detection and surveillance (using sensors, mathematical models, syndromic surveillance, the criminal justice system, ocean monitoring; using weather stations);

*emergency response (emergency communication, training first responders, modeling risk and response, risk communication, evacuation).


Title: Local Needs and Preparedness for WMD Incidents: A Case Study of Kentucky (Poster Presentation)

Christine M. Scott, Cook College, Rutgers University and G. Paulson, UMDNJ-School of Public Health

In the summer of 2002, the Commonwealth of Kentucky's General Assembly passed emergency legislation, the Antiterrorism Act of 2002. One piece of the Antiterrorism Act requested that the Kentucky Division of Emergency Management (KyEM) prepare an annual report on the needs and level of preparedness for responding to possible terrorist incidents, including responding to the potential use of weapons of mass destruction (WMD), at the state level. Upon further examination it was decided that local, county and regional responses to WMD incidents would be similarly important, and that an independent survey of needs and preparedness as perceived at the local level, while not specifically called for in the new state law, would be a valuable addition to KyEM's knowledge base. In four regions of the state, pertinent professionals at the local level, such as city/town, county, and multi-county, were surveyed to determine their perceptions of the current levels of preparedness and also their needs to improve upon their levels of preparedness to respond to terrorist incidents. The professionals surveyed included individuals in fire and police departments, emergency medical and emergency management organizations, local, county and multi-county health agencies, and hospitals, as well as private physicians, corporate and university safety and health officials, and also others whom provided confidential responses to the survey. Their existing levels and needs to enhance these levels of preparedness encompassed four critical areas of emergency response: communication, incident command, on-scene capabilities and needs, as well as off-site capabilities and needs. Overall in all of the four regions surveyed, the needs for improvement upon their levels of preparedness to respond to terrorist acts were judged to range from high to very high, and their present level of preparedness was ascertained as low. The overall results of this survey, which was conducted in the early fall of 2002, have been confirmed more recently as reflecting the general level of local preparedness for much if not most of the United States.


Title: Intro & Transportation Security

Donald Sebastuan, Vice President for Research & Development, New Jersey Institute of Technology

NJIT's research program has historically focused on important areas or technology that contribute to the issues of Homeland Security identified at the federal level: ? border and transportation security, protection of critical infrastructure and national symbols, defense against catastrophic threats, emergency preparedness and response, domestic counter-terrorism, and intelligence and warning.. In July 2002, the university formed a Homeland Security Technology Center to integrate these efforts and to create a forum for systems integration and end-use test, evaluation, and demonstration of relevant technologies. These exercises will can guide the state and federal investment process and lead to standards of interoperability that might spur private sector development of next generation systems.

One important area of vulnerability that has received widespread attention is the security of our ports and in particular, managing inspection of containerized shipping. NJIT, in partnership with StratCom, LLC and Lockheed s engaged in developing and deploying a global freight monitoring system that uses high-altitude airships, wide-area broad band wireless communication, advanced neutron beam and terahertz spectrometry, and autonomous inspection vehicles to secure cargo from point of pickup to point of delivery. The program is rich in opportunities that depend of research across the full spectrum of disciplines and these will be discussed at the Symposium.


Title: Face Recognition and Image Data Security (Poster Presentation)

Frank Shih, Department of Computer Scinece, NJIT

Scientists have developed numerous classifiers in the pattern recognition field, while applying a single classifier is very difficult to achieve a high recognition rate on face databases. The problems occur when the images of the same person are classified as one class, while they are in face different in poses, expressions, or lighting conditioins. We will present a hybrid, two-phase face recognition algorithm to achieve high recognition rates on the FERET data set.Several fragile image watermarking techniques can not detect vector quantization attacks. We will present a new fragile watermarking technique based on genetic algorithms to embed watermarks into the frequency domain of a host image. The technique can provide a fundamental platform for other fragile watermarking techniques.


Title: A Digital Rights Management Platform for Digital Images (Poster Presentation)

Neelu Sinha, Department of Computer Scinece, Math and Physics, Fairleigh Dickinson University

In this Digital Age, all forms of digital media content are available for electronic distribution. Hence there is a need to manage, store, protect and distribute digital images, video, and audio using schemes which can protect, detect and verify ownership. This poster presents a complete Digital Rights Management System (DRMS) for digital images. One of the components in a DRMS is the information embedding technique for incorporating a digital watermark to protect, detect and verify ownership of digital data. This digital watermarking technique is based on Adaptive segmentation and Space-Frequency representation (WASSFR). Other components in this DRMS are Encryption, Channel Coding and Synchronization Mechanism. This attempts to build a complete digitalrights management scheme (incorporating these components) suitable for practical applications such as secure digital image distribution.


Title: Rutgers Center for the Study of Public Security (Poster Presentation)

Louise Stanton, Rutgers University

The Rutgers Center for the Study of Public Security (RCSPS) is an interdisciplinary center of research and outreach activities that was founded by the Rutgers School of Criminal Justice, Rutgers School of Law, Rutgers College of Nursing, and the Center for Global Change and Governance in 2002. The RCSPS is positioning itself as a leading national research center focused on interdisciplinary approaches to security research. It emphasizes collaboration across multiple sectors at neutral forum for public discussions, dialogue and problem-solving on security issues in the post-9/11 environment and in the broader context of social change and conflict. The main item on the agenda of the RCSPS is to understand the consequences of heightened security. Based on the very productive discussions with participants at the Health Security in NJ summit in June 2003, the RCSPS launched the Public Security Monitoring Project (PSMP) to track changes in security pre-9/11 and post-9/11. The methodology involves in-depth interviews with decision-makers in the corporate, health, and law enforcement sectors. Interviewers are probing the meaning of security, risk perceptions, risk assessments, employee reactions and involvement, management, economic impacts, and disruptions. During the course of its research and outreach activities, the RCSPS will be preparing a narrative for use by decision and policy-makers.


Title: Center For Rapid Responce Databases (Poster Presentation)

William Tepfenhart, Monmouth University

This poster shall describe the efforts that have been undertaken in the development of a center for rapid response databases. The goal of this center is to develop the technological tools necessary for rapid responce to large-scale emergencies. We describe how our initial efforts concentrate on command center tools.


Title: Emergency Response Information Systems: Requirements and Design Considerations

Murray Turoff, IS Department, NJIT

A presentation of the current work at NJIT concerned with the design of a new generation of Dynamic Emergency Response Management Information Systems (DERMIS) based upon historical requirements. Highlights the conceptual level design and the role for such systems in all phases of emergency preparedness from planning, implementation, training, response execution, recovery, evaluation and evolution of the systems.


Title: WiNSeC a Communications Platform for Homeland Security

Pat White, Stevens Institute of Technology Research

This talk provides an overview of WiNSeC, a new center established at Stevens Institute of Technology, focused on advanced, secure wireless communications technologies for homeland security and commercial applications.

The security of wireless signals is an important challenge, due to the fact that they are broadcast in free space and are available to attackers with appropriate listening or jamming equipment. The overall approach in WiNSeC is to focus on key pragmatic problems that have enormous payoff potential.

Particular areas of emphasis include:

A state-of-the-art wireless test bed comprised of the latest in commercial products and emerging research concepts is in place to support the Center's work program. The test bed, located at Stevens Institute of Technology in the heart of the NY metropolitan area, is uniquely positioned to model a variety of wireless environments, marine, urban, suburban; particularly the unique challenges that they pose: excessive background radio noise, shadowing by skyscrapers and multi-path interference due to reflection from buildings or water. This uniqueness ensures that wireless technologies developed or tested by the center can perform well in an array of environments.


Title: Decision Support for Emergency Response Planning (Poster Presentation)

Xiang Yao, IS Department, NJIT

Our poster and demo is about use of Decision Support System to gather information for planning in emergency response area. SDSS allows large group of experts to contribute and evaluate their ideas by assorted voting processes.


Title: Internet-based Network for Monitoring and Display of Environmental Radiation Data (Poster Presentation)

L.S. Zuckier(1), M.J. Nappe(3), D.A. Robinson(2), R. Rego(2), S. Feldman(2), C. Duvall(2) and B. Boardman(3), (1) UMDNJ, Newark, NJ, (2) Rutgers University, Piscataway, NJ and (3) Aware Electronics, Wilmington DE

In a widespread radiologic emergency, manual monitoring of radioactivity using hand-held Geiger Müller (GM) detectors is slow and impractical. Data would not be available in time for effective emergency decision making.

We describe development of a web-based network of GM detectors designed to provide near real-time measurement of ambient radioactivity within NJ. Commercially available serial-port based GM detectors have been deployed on computers on the UMDNJ network and on data loggers installed as part of the Mesonet Field Weather Stations, Office of the NJ State Climatologist at Rutgers University. Efforts are underway to integrate a county-based detector system into our state-based surveillance network. Data are shared between computers via the Internet and then displayed on a UMDNJ-based server where they are ubiquitously available for review on the Internet.

We have begun implementation of a scalable State-wide Internet-based system for monitoring and display of environmental radiation data. Ongoing development includes expansion of our detector base and graphical display of data in a map format. The ability to share and display data on the WWW makes implementation of widespread networks of GM-counters feasible, critical to emergency radiologic responses.


Panels:

Purpose: NJ Universities Consortium for Homeland Security will demonstrate how we can use our knowledge and accumulated expertise to anticipate and control threats to security. In addition, the Consortium will lead us to see opportunities for how the individual institutions can rise to the challenge of collaboration by approaching homeland security issues using an inter-disciplinary, inter-institutional, and inter-thematic approach.

Rationale for proposed panels: The panels will demonstrate the opportunities for synergies among institutions and disciplines.


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