Emergent Information Technologies and Enabling Policies for Counter Terrorism

Robert L. Popp, John Yen - Collection IEEE Press Series on Computational Intelligence

484 pages, parution le 26/07/2006

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Résumé

Explores both counter-terrorism and enabling policy dimensions of emerging information technologies in national security

After the September 11th attacks, "connecting the dots" has become the watchword for using information and intelligence to protect the United States from future terrorist attacks. Advanced and emerging information technologies offer key assets in confronting a secretive, asymmetric, and networked enemy. Yet, in a free and open society, policies must ensure that these powerful technologies are used responsibly, and that privacy and civil liberties remain protected.

Emergent Information Technologies and Enabling Policies for Counter-Terrorism provides a unique, integrated treatment of cutting-edge counter-terrorism technologies and their corresponding policy options. Featuring contributions from nationally recognized authorities and experts, this book brings together a diverse knowledge base for those charged with protecting our nation from terrorist attacks while preserving our civil liberties.

Topics covered include:

Counter-terrorism modeling
Quantitative and computational social science
Signal processing and information management techniques
Semantic Web and knowledge management technologies
Information and intelligence sharing technologies
Text/data processing and language translation technologies
Social network analysis
Legal standards for data mining
Potential structures for enabling policies
Technical system design to support policy

Countering terrorism in today's world requires innovative technologies and corresponding creative policies; the two cannot be practically and realistically addressed separately.

Emergent Information Technologies and Enabling Policies for Counter-Terrorism offers a comprehensive examination of both areas, serving as an essential resource for students, practitioners, researchers, developers, and decision-makers.

Sommaire

Utilizing information and social science technology to understand and counter the twenty-first century strategic threat
Hidden Markov models and Bayesian networks for counter-terrorism
Anticipatory models for counter-terrorism
Information processing at very high speed data ingestion rates
Analysis of heterogeneous data in ultrahigh dimensions
Semantic Web technologies for terrorist network analysis
Improving national and homeland security through context knowledge representation and reasoning technologies
Anonymized semantic directories and a privacy-enhancing architecture for enterprise discovery
Facilitating information sharing across intelligence community boundaries using knowledge management and semantic Web technologies
Applying semantic Web reasoning to counter-terrorism
Schemer : consensus-based knowledge validation and collaboration services for virtual teams of intelligence experts
Sharing intelligence using information supply chains
Supporting knowledge management in emergency crisis management domains : envisioned designs for collaborative work
Agent-based simulations for disaster rescue using the DEFACTO coordination system
Transcending the Tower of Babel : supporting access to multilingual information with cross-language information retrieval
Journey from analysis to inquiry : technology and transformation of counter-terrorism analysis
Behavioral network analysis for terrorist detection
Detecting terrorist activities in the twenty-first century : a theory of detection for transactional networks
Social network analysis via matrix decompositions
Legal standards for data mining
Privacy and consequences : legal and policy structures for implementing new counter-terrorism technologies and protecting civil liberty
Designing technical systems to support policy : enterprise architecture, policy appliances, and civil liberties

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Caractéristiques techniques

	PAPIER
Éditeur(s)	Wiley, IEEE Press
Auteur(s)	Robert L. Popp, John Yen
Collection	IEEE Press Series on Computational Intelligence
Parution	26/07/2006
Nb. de pages	484
Format	19 x 26
Couverture	Relié
Poids	975g
Intérieur	Noir et Blanc
EAN13	9780471776154
ISBN13	978-0-471-77615-4