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ARTIFICIAL INTELLIGENCE FOR HOME LAND SECURITY

ARTIFICIAL INTELLIGENCE FOR HOME LAND SECURITY. THE AUTHORS Phd, Information Systems from New York University Management information systems, University

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Page 1: ARTIFICIAL INTELLIGENCE FOR HOME LAND SECURITY. THE AUTHORS Phd, Information Systems from New York University Management information systems, University

ARTIFICIAL INTELLIGENCE

FORHOME LAND SECURITY

Page 2: ARTIFICIAL INTELLIGENCE FOR HOME LAND SECURITY. THE AUTHORS Phd, Information Systems from New York University Management information systems, University

THE AUTHORSPhd, Information Systems from New York University

Management information systems, University of Arizona

Research: •intelligence analysis•Web mining

Hsinchun chen

Page 3: ARTIFICIAL INTELLIGENCE FOR HOME LAND SECURITY. THE AUTHORS Phd, Information Systems from New York University Management information systems, University

THE AUTHORS

FEI-YUE WANG

PHD, COMPUTER AND SYSTEM ANALYSIS ENGINEERING FROM RENSSELAER POLYTECHNIC INSTITUTE

UNIVERSITY OF ARIZONA SYSTEM AND INDUSTRIAL ENGINEERING

DIRECTOR OF RESEARCH FOR COMPLEX SYSTEMS

RESEARCH:INTELLIGENCE CONTROLCOMPUTATIONAL INTELLIGENCE

Page 4: ARTIFICIAL INTELLIGENCE FOR HOME LAND SECURITY. THE AUTHORS Phd, Information Systems from New York University Management information systems, University

MAIN SECURITY OBJECTIVES

•FEDERAL AUTHORITIES OBJECTIVES:–PREVENT FUTURE TERRORIST ATTACKS

–REDUCE NATIONAL VULNERABILITY

–MINIMIZE DAMAGE AND RECOVERY FROM ATTACKS

Page 5: ARTIFICIAL INTELLIGENCE FOR HOME LAND SECURITY. THE AUTHORS Phd, Information Systems from New York University Management information systems, University

IT role and support

• IT supports intelligence and knowledge discovery

• IT can help in collecting, processing, and developing applications for terrorism

• Federal authorities can use results for timely decisions, select tactics and allocate resources

• Detect, prevent and respond to future attacks

Page 6: ARTIFICIAL INTELLIGENCE FOR HOME LAND SECURITY. THE AUTHORS Phd, Information Systems from New York University Management information systems, University

Critical mission areas

• US Department of homeland security (DHS) identifies 6 critical mission areas

– Intelligence and warning– Border and transportation security– Domestic counterterrorism– Protecting infrastructure and assets– Defending against catastrophes– Emergency preparedness and responses

Page 7: ARTIFICIAL INTELLIGENCE FOR HOME LAND SECURITY. THE AUTHORS Phd, Information Systems from New York University Management information systems, University

Intelligence and warning

• IT can detect the identities • IT can monitor and provide alerts

through intelligence and warning systems to prevent crimes

{DHS}

Page 8: ARTIFICIAL INTELLIGENCE FOR HOME LAND SECURITY. THE AUTHORS Phd, Information Systems from New York University Management information systems, University

Border and transportation security

• Creat smart borders that improves counterterrorism and crime fighting capabilites

• Smart borders depends on information sharing and integration, collaboration and communication

{DHS}

Page 9: ARTIFICIAL INTELLIGENCE FOR HOME LAND SECURITY. THE AUTHORS Phd, Information Systems from New York University Management information systems, University

Domestic counterterrorism

• IT can find interactive patterns among criminals

• IT can help in analyzing terrorism• IT can help in public safety

{DHS}

Page 10: ARTIFICIAL INTELLIGENCE FOR HOME LAND SECURITY. THE AUTHORS Phd, Information Systems from New York University Management information systems, University

Protecting infrastructure and assets

• Sensors and detectors are not enough• Advanced IT devices that model the

normal use and detect the abnormal use of the infrastructure

{DHS}

Page 11: ARTIFICIAL INTELLIGENCE FOR HOME LAND SECURITY. THE AUTHORS Phd, Information Systems from New York University Management information systems, University

Defending against catastrophes

• IT collect, access, analyze and report data relevant to catastrophes

• IT can be helpful in prevent, detect and manage the future attacks

{DHS}

Page 12: ARTIFICIAL INTELLIGENCE FOR HOME LAND SECURITY. THE AUTHORS Phd, Information Systems from New York University Management information systems, University

Emergency preparedness and responses

• Train professionals• Facilitate social and psychological

support for victims

{DHS}

Page 13: ARTIFICIAL INTELLIGENCE FOR HOME LAND SECURITY. THE AUTHORS Phd, Information Systems from New York University Management information systems, University

Security challenges

• Distributed criminal enterprises• Diverse sources and formats• Crime and intelligence analysis

techniques

Page 14: ARTIFICIAL INTELLIGENCE FOR HOME LAND SECURITY. THE AUTHORS Phd, Information Systems from New York University Management information systems, University

ISI

• Emergence of a discipline– Intelligence and security informaticsObjectives:Develop advanced information

technology, system and data bases for national security throught an integrated technological, organizational and policy based approach

Page 15: ARTIFICIAL INTELLIGENCE FOR HOME LAND SECURITY. THE AUTHORS Phd, Information Systems from New York University Management information systems, University

ISI vs. biomedical informatics

• Data:overload problem

• Technolongy:new approaches

• Scientific contribution:add insight and knowledge

• Research frame work based on data mining

Page 16: ARTIFICIAL INTELLIGENCE FOR HOME LAND SECURITY. THE AUTHORS Phd, Information Systems from New York University Management information systems, University

Design and implementation of ISI

• Emergency:PDA, handheld for police and ambulance through wirless network

• Problem solving:Knowledge based data integration of

disease, health problems and some other problems

Page 17: ARTIFICIAL INTELLIGENCE FOR HOME LAND SECURITY. THE AUTHORS Phd, Information Systems from New York University Management information systems, University

Design and implementation of ISI

• Detection:Information about hand and head

movements and behaviors• Classification:Developing and organizing website

data about extremists and analyze its content

Page 18: ARTIFICIAL INTELLIGENCE FOR HOME LAND SECURITY. THE AUTHORS Phd, Information Systems from New York University Management information systems, University

Design and implementation of ISI

• Data mining:Based on the (rule + exception) methodology • Infrastructure:

multicamera video (DIVA) for vehicle and bridge monitoring, tracking and analysis

• Anonymity:Use literary analysis techniques to unveil the annonymity of arabic extriemist groups.