Terrorism Informatics

Knowledge Management and Data Mining for Homeland Security
Herausgegeben:Chen, Hsinchun; Reid, Edna; Sinai, Joshua; Silke, Andrew; Ganor, Boaz

• Broschiertes Buch

Produktbeschreibung

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.

Produktdetails

• Integrated Series in Information Systems 18
• Verlag: Springer / Springer US / Springer, Berlin
• Artikelnr. des Verlages: 978-1-4899-9814-9
• 2008
• Seitenzahl: 604
• Erscheinungstermin: 31. Oktober 2014
• Englisch
• Abmessung: 235mm x 155mm x 33mm
• Gewicht: 914g
• ISBN-13: 9781489998149
• ISBN-10: 1489998144
• Artikelnr.: 41758215

Autorenporträt

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

Inhaltsangabe

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.

Rezensionen

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)