Ebook: Terrorism Informatics: Knowledge Management and Data Mining for Homeland Security
- Tags: Business Information Systems, Data Structures Cryptology and Information Theory, Information Systems and Communication Service, e-Commerce/e-business, Political Science
- Series: Integrated Series In Information Systems 18
- Year: 2008
- Publisher: Springer US
- Edition: 1
- Language: English
- pdf
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.
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.
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.
Content:
Front Matter....Pages i-xlii
Domain Mapping of Contemporary Terrorism Research....Pages 3-26
Research on Terrorism....Pages 27-50
Who Are the Key Figures in ‘Terrorism Studies’?....Pages 51-72
Interviewing Terrorists....Pages 73-99
Resolving a Terrorist Insurgency by Addressing Its Root Causes....Pages 101-114
A Quantitative Analysis of ‘Root Causes of Conflict’....Pages 115-139
Countering Terrorism with Knowledge....Pages 141-155
Toward a Target-specific Method of Threat Assessment....Pages 157-174
Identifying and Exploiting Group Learning Patterns for Counterterrorism....Pages 175-196
Homeland Insecurity....Pages 197-218
Case Study of Jihad on the Web....Pages 221-235
Studying Global Extremist Organizations' Internet Presence Using the DarkWeb Attribute System....Pages 237-266
Content Analysis of Jihadi Extremist Groups' Videos....Pages 267-284
Analysis of Affect Intensities in Extremist Group Forums....Pages 285-307
Document Selection for Extracting Entity and Relationship Instances of Terrorist Events....Pages 309-346
Data Distortion Methods and Metrics in a Terrorist Analysis System....Pages 347-364
Content-Based Detection of Terrorists Browsing the Web Using an Advanced Terror Detection System (ATDS)....Pages 365-384
Text Mining the Biomedical Literature for Identification of Potential Virus/Bacterium as Bio-Terrorism Weapons....Pages 385-406
Leveraging One-Class SVM and Semantic Analysis to Detect Anomalous Content....Pages 407-424
Individual and Collective Analysis of Anomalies in Message Traffic....Pages 425-449
Addressing Insider Threat through Cost-Sensitive Document Classification....Pages 451-472
Using Web Mining and Social Network Analysis to Study The Emergence of Cyber Communities In Blogs....Pages 473-494
Automatic Extraction of Deceptive Behavioral Cues from Video....Pages 495-516
Situational Awareness Technologies for Disaster Response....Pages 517-544
Back Matter....Pages 545-558
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.
Content:
Front Matter....Pages i-xlii
Domain Mapping of Contemporary Terrorism Research....Pages 3-26
Research on Terrorism....Pages 27-50
Who Are the Key Figures in ‘Terrorism Studies’?....Pages 51-72
Interviewing Terrorists....Pages 73-99
Resolving a Terrorist Insurgency by Addressing Its Root Causes....Pages 101-114
A Quantitative Analysis of ‘Root Causes of Conflict’....Pages 115-139
Countering Terrorism with Knowledge....Pages 141-155
Toward a Target-specific Method of Threat Assessment....Pages 157-174
Identifying and Exploiting Group Learning Patterns for Counterterrorism....Pages 175-196
Homeland Insecurity....Pages 197-218
Case Study of Jihad on the Web....Pages 221-235
Studying Global Extremist Organizations' Internet Presence Using the DarkWeb Attribute System....Pages 237-266
Content Analysis of Jihadi Extremist Groups' Videos....Pages 267-284
Analysis of Affect Intensities in Extremist Group Forums....Pages 285-307
Document Selection for Extracting Entity and Relationship Instances of Terrorist Events....Pages 309-346
Data Distortion Methods and Metrics in a Terrorist Analysis System....Pages 347-364
Content-Based Detection of Terrorists Browsing the Web Using an Advanced Terror Detection System (ATDS)....Pages 365-384
Text Mining the Biomedical Literature for Identification of Potential Virus/Bacterium as Bio-Terrorism Weapons....Pages 385-406
Leveraging One-Class SVM and Semantic Analysis to Detect Anomalous Content....Pages 407-424
Individual and Collective Analysis of Anomalies in Message Traffic....Pages 425-449
Addressing Insider Threat through Cost-Sensitive Document Classification....Pages 451-472
Using Web Mining and Social Network Analysis to Study The Emergence of Cyber Communities In Blogs....Pages 473-494
Automatic Extraction of Deceptive Behavioral Cues from Video....Pages 495-516
Situational Awareness Technologies for Disaster Response....Pages 517-544
Back Matter....Pages 545-558
....