Terrorism Informatics: Knowledge Management and Data Mining for Homeland Security

ISBN-13: 9781489998149 / Angielski / Miękka / 2014 / 558 str.

Hsinchun Chen;Edna Reid;Joshua Sinai

Opis

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 wide variety of methods used in terrorism informatics are derived from Computer Science, Informatics, Statistics, Mathematics, Linguistics, Social Sciences, and Public Policy and these methods are involved in the collection of huge amounts of information from varied and multiple sources and of many types in numerous languages. Information fusion and information technology analysis techniques which include data mining, data integration, language translation technologies, and image and video processing play central roles in the prevention, detection, and remediation of terrorism. While there has been substantial investment on computer technology research applications to terrorism, much of the results and the literature has been a fragmented hodgepodge that is too narrowly focused on unconnected and unlinked discipline domains. As a result, there has been little effort to relate the research across the discipline domains from which terrorism informatics is drawn. TERROR 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. The book will bring "knowledge" that can be used by scientists, security professionals, counterterrorism experts, and policy makers. The book will be organized into three major subject areas: Part I will focus on the methodological issues in terrorism research. The methodological issues that impact trends, achievements, root causes, and failures in terrorism research will be treated within the context of the methods of retrieving and developing, sharing, and implementing terrorism informatics methodologies and resources. Part II will focus on three major areas of terrorism research: prevention, detection, and established governmental responses to terrorism. This section will systematically examine the current and ongoing research including recent case studies and application of terrorism informatics techniques. Examples of such techniques are web mining, social network analysis, and multimodal event extraction, analysis to the terrorism phenomenon, etc. Part III will present the critical and relevant social/technical areas to terrorism research including social, privacy, data confidentiality, and legal challenges."

Recenzje

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)

Spis treści

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.

O autorze

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

Blurb

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 wide variety of methods used in terrorism informatics are derived from Computer Science, Informatics, Statistics, Mathematics, Linguistics, Social Sciences, and Public Policy and these methods are involved in the collection of huge amounts of information from varied and multiple sources and of many types in numerous languages. Information fusion and information technology analysis techniques—which include data mining, data integration, language translation technologies, and image and video processing—play central roles in the prevention, detection, and remediation of terrorism.

 

Terrorism Informatics: Knowledge Management and Data Mining for Homeland Security will provide an interdisciplinary and comprehensive survey of the state-of-the-art in the 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. Featuring contributions by leading researchers and practitioners, illustrative case studies, and applications of terrorism informatics techniques, the book will be an essential resource for scientists, security professionals, counterterrorism experts, and policy makers.