Home Land Security Research at CIMIC

PresentedNabil R. Adam and Vijay Atluri

Team members: F. Artigas, K. Barrett, S. Chun, R. Clark, M. Halem, L. Liu

Ph.D. Students: A. Gomaa, Q. Guo, D. Guo, V. Janeja, Y. Mohamoud, A. Paliwal, L. Qin, J. Warner, S. Yu

CIMIC (Center for Information Management, Integration and Connectivity)

Rutgers University – Newark CampusSeptember 23, 2003

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Ongoing HS Projects Border Security:

Secure Agency Interoperation for Effective Data Mining in Border Control and Homeland

Security Applications

Supported by NSF $1,050,000 (Sept 03 – Aug 06) additional matching funds from SAP

Corporate Research

Water Security:

End –to End Early Warning Decision Support System for Dinking Water Safety and Security:

Monitoring, Modeling and Info Management

Supported by EPA $2,000,000 (Dec 03 – Nov 05) additional $2M matching from water

utilities

Emergency Response

GIS for the Emergency Response

Supported by the NJMC, $350,000 (June 03 – May 04)

Protection of Critical Resources

Meadowlands Environmental Research Institute

Supported by the NJMC $8,000,000 (Jan 02 – Dec 07)

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Border Security

Specific Goals Supplement the profiling, by making it targeted towards

anomalies

Utilize data available from different agencies, ports and

customs divisions

Detect various flags raised by non-conforming shipments

or abnormal behavior of inbound cargos and raise a

combination of alerts

Identify the anomalous shipment before it enters the

country

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Border Security

Proposed Work Provide decision makers with the ability to

Extract and fuse information from multiple, heterogeneous sources in response to a query

Mine data distributed in various sources within and across various agencies

Research Building Blocks Semantic Interoperability Security Enforcement Text Mining, Data Mining and Alert Management Systems The Diplomacy and Politics of Implementing Homeland

Security Information Technology Initiatives

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Broader Impact of Proposed Work

Advances fundamental research in the areas of semantic interoperability, data mining, text mining and security enforcement

Devises solutions to accomplish secure interoperation among different government agencies

Our partnership with SAP, which is the supplier of software to the Customs

and Border Protection Modernization Program and contractor to IBM, the prime contractor for eCustoms Partnership (eCP) that is implementing the modernization program

Provides the opportunity to directly contribute to fulfilling the practical needs of the Bureau of Customs and Border Protection

Serves as a reference model to be adopted by other divisions of the Department of Homeland Security and other departments contributing to homeland security missions.

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The Team Researchers

Nabil R. Adam and Vijay Atluri, CIMIC, Rutgers University Robert Grossman, National Center for Data Mining, Univ. of Illinois at Chicago Vasileios Hatzivassiloglou and Kathleen R. McKeown, Dept. of Computer

Science, Columbia University Rey Koslowski, Dept. of Political Science, Rutgers University Tao Lin, SAP Corporate Research Labs

Domain experts SAP labs IBM Global services Dr. Stephen E. Flynn, Council on Foreign Relations C.J. Chang, Special Agent, SAIC Denver, Bureau of Immigration and Customs

Enforcement, U.S. Customs Service Steve Cooper, CIO, Department of Homeland Security Luis R. Cortes, Chief of Intelligence, Office of National Risk Assessment

(ONRA), Transportation Security Administration (TSA) Lee Holcomb, Department of Homeland Security James R. Sutton, Managing Associate of McManis Associates, Inc. and former

Senior Intelligence Research Specialist for the U.S. Department of Justice on the Foreign Terrorist Tracking Task Force.

Consumers US Customs, INS

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Water Security Specific Goals

Develop an End –to End Early Warning Decision Support System (EWS) for Dinking Water Safety and Security

to detect deliberate or accidental introduction of contaminants into a

distribution system (back flow, cross connections) deliberate or accidental contamination of source waters Cyber attacks caused by either externally or internally

Model the behavior of the level and extent of the threats Develop a decision support system to generate warnings and

alerts Complement the EWS surveillance monitoring system (SMS) focuses

on public health surveillance of disease data in the population

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Real-time Monitoring, Modeling, and Alert System for Drinking Water Safety Security

DATA Sources

ALERT GENERATION

REAL-TIME MODELING

VIS

UA

LIZA

TIO

N

CO

NTIN

UO

US

MO

NIT

OR

ING

Predicted toxin concentration, ppbSimulation

Time, hr Location 1 Location 2 Location 30 20.3 0.0 0.02 14.1 8.4 0.34 10.2 14.3 11.16 8.4 18.2 15.18 6.5 13.3 17.5

10 4.4 9.5 15.512 3.4 7.0 11.114 2.3 5.1 9.216 1.3 3.2 7.318 0.4 2.3 5.420 0.0 1.2 4.0

Public

Community

Hospitals

Managers / Officials

Weather station Weather station with with

data loggerdata logger

Service Area

•Reservoir

•Treatment plant

•Treatment plant

•Sensors

•Clinics

•Hospitals

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Water Security: Research Building Blocks

Sensor and Monitoring Research Monitor Chemical, Biological, Radiological contaminants Each source water monitoring station will include the installation of on-line

sensors for the collection of water quality data: Alkalinity, Temperature, UV absorbance, Particle counts, Dissolved oxygen, pH, Turbidity

Finished water on-line monitoring stations will also be installed to monitor the quality of finished water: Total organic carbon, dissolved oxygen, free chlorine residual, Turbidity, pH, UV absorbance, particle counts

Modeling Research tie together the sensor and monitoring systems to simulation models --

source water and distributed water to predict where contaminant is moving and suggest possible remediation

strategies calibration of models and feed back loop so that monitors can be used to

continuously self-calibrate the models Information Management Research

Develop Real-time data acquisition information network system, a Sensor data management system, and Data validation and alert system

Develop Security modules to ensure security policies among the utilities, provide authentication, fine-grained access control, and secure data transfer

Web-based user interface and visualization to display alerts, warnings, affected areas

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Water Security: The Team

Formed a Consortium

EPA Region II, USGS, NJDEP, AWWSC, NJDWSC, PVWC, and Rutgers

CIMIC

Researchers

Nabil Adam, Francisco Artigas, Vijay Atluri, Kirk Barrett, Robert Clark

(Rutgers CIMIC), Milton Halem (NASA/Rutgers CIMIC), Yelena Yesha

(UMBC)

End users

Laura Cummings PVWSC, Eva Ibrahim, American Waters, Pen

C. Tao, NJDWSC, Eric F Vowinkel, USGS

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