Terrorism Informatics: Knowledge Management and Data Mining for Homeland Security

by Hsinchun Chen (Editor), Edna Reid (Editor), Joshua Sinai (Editor), Andrew Silke (Editor), Boaz Ganor (Editor)

Overview

Terrorism informatics has been defined as the application of advanced methodologies, information fusion and analysis techniques to acquire, integrate process, analyze, and manage the diversity of terrorism-related information for international and homeland security-related applications. The variety of methods used in terrorism informatics are derived from Computer Science, Informatics, Statistics, Mathematics, Linguistics, Social Sciences, and Public Policy and they involve the collection of a mass of information from multiple sources and in numerous languages.

TERRORISM INFORMATICS: Knowledge Management and Data Mining for Homeland Security will provide an interdisciplinary and comprehensive survey of the state-of-the-art of terrorism informatics domain along three basic dimensions: methodological issues in terrorism research; information infusion techniques to support terrorism prevention, detection, and response; and legal, social, privacy, and data confidentiality challenges and approaches.

Product Details

ISBN-13:	9781489998149
Publisher:	Springer US
Publication date:	10/31/2014
Series:	Integrated Series in Information Systems , #18
Edition description:	2008
Pages:	558
Product dimensions:	6.10(w) x 9.25(h) x 0.05(d)

About the Author

The lead author is an editor for the IEEE Int. conference on Intelligence and Security Informatics and the founder of ISI conferences.

Table of Contents

Methodological Issues in Terrorism Research.- Domain Mapping of Contemporary Terrorism Research.- Research on Terrorism.- Who Are the Key Figures in ‘Terrorism Studies’?.- Interviewing Terrorists.- Resolving a Terrorist Insurgency by Addressing Its Root Causes.- A Quantitative Analysis of ‘Root Causes of Conflict’.- Countering Terrorism with Knowledge.- Toward a Target-specific Method of Threat Assessment.- Identifying and Exploiting Group Learning Patterns for Counterterrorism.- Homeland Insecurity.- Terrorism Informatics to Support Prevention, Detection, and Response.- Case Study of Jihad on the Web.- Studying Global Extremist Organizations' Internet Presence Using the DarkWeb Attribute System.- Content Analysis of Jihadi Extremist Groups' Videos.- Analysis of Affect Intensities in Extremist Group Forums.- Document Selection for Extracting Entity and Relationship Instances of Terrorist Events.- Data Distortion Methods and Metrics in a Terrorist Analysis System.- Content-Based Detection of Terrorists Browsing the Web Using an Advanced Terror Detection System (ATDS).- Text Mining the Biomedical Literature for Identification of Potential Virus/Bacterium as Bio-Terrorism Weapons.- Leveraging One-Class SVM and Semantic Analysis to Detect Anomalous Content.- Individual and Collective Analysis of Anomalies in Message Traffic.- Addressing Insider Threat through Cost-Sensitive Document Classification.- Using Web Mining and Social Network Analysis to Study The Emergence of Cyber Communities In Blogs.- Automatic Extraction of Deceptive Behavioral Cues from Video.- Situational Awareness Technologies for Disaster Response.

Editorial Reviews

From the reviews:

"The title of this book might imply, at first sight, a US-centric approach to the topic, but in fact, the contributions are not only from the US, but also from Canada … India, and Israel. … A particularly good feature of this book is the back matter included at the end of each chapter: suggested readings, online resources, and discussion questions … . This edited volume should appeal to the growing terrorism informatics research community, graduate students, and readers in the wider community … ." (John Fulcher, ACM Computing Reviews, May, 2009)

From the Publisher