Application of Big Data for National Security: A Practitioner's Guide to Emerging Technologies

✍ Scribed by Babak Akhgar, Gregory B. Saathoff, Hamid R. Arabnia, Richard Hill, Andrew Staniforth, Petra Saskia Bayerl

• Publisher: Butterworth-Heinemann
• Year: 2015
• Tongue: English
• Leaves: 291
• Edition: 1
• Category: Library

✦ Synopsis

Application of Big Data for National Security provides users with state-of-the-art concepts, methods, and technologies for Big Data analytics in the fight against terrorism and crime, including a wide range of case studies and application scenarios. This book combines expertise from an international team of experts in law enforcement, national security, and law, as well as computer sciences, criminology, linguistics, and psychology, creating a unique cross-disciplinary collection of knowledge and insights into this increasingly global issue.

The strategic frameworks and critical factors presented in Application of Big Data for National Security consider technical, legal, ethical, and societal impacts, but also practical considerations of Big Data system design and deployment, illustrating how data and security concerns intersect. In identifying current and future technical and operational challenges it supports law enforcement and government agencies in their operational, tactical and strategic decisions when employing Big Data for national security

• Contextualizes the Big Data concept and how it relates to national security and crime detection and prevention
• Presents strategic approaches for the design, adoption, and deployment of Big Data technologies in preventing terrorism and reducing crime
• Includes a series of case studies and scenarios to demonstrate the application of Big Data in a national security context
• Indicates future directions for Big Data as an enabler of advanced crime prevention and detection

✦ Table of Contents

Content:
Front Matter, Page iii
Copyright, Page iv
List of Contributors, Pages xv-xvi
About the Editors, Pages xvii-xviii
Foreword by Lord Carlile of Berriew, Page xix
Preface by Edwin Meese III, Pages xxi-xxii
Acknowledgments, Page xxiii
Chapter 1 - An Introduction to Big Data, Pages 3-13
Chapter 2 - Drilling into the Big Data Gold Mine: Data Fusion and High-Performance Analytics for Intelligence Professionals, Pages 14-20
Chapter 3 - Harnessing the Power of Big Data to Counter International Terrorism, Pages 23-38
Chapter 4 - Big Data and Law Enforcement: Advances, Implications, and Lessons from an Active Shooter Case Study, Pages 39-54
Chapter 5 - Interpretation and Insider Threat: Rereading the Anthrax Mailings of 2001 Through a “Big Data” Lens, Pages 55-67
Chapter 6 - Critical Infrastructure Protection by Harnessing Big Data, Pages 68-80
Chapter 7 - Military and Big Data Revolution, Pages 81-107
Chapter 8 - Cybercrime: Attack Motivations and Implications for Big Data and National Security, Pages 108-127
Chapter 9 - Requirements and Challenges for Big Data Architectures, Pages 131-139
Chapter 10 - Tools and Technologies for the Implementation of Big Data, Pages 140-154
Chapter 11 - Mining Social Media: Architecture, Tools, and Approaches to Detecting Criminal Activity, Pages 155-172
Chapter 12 - Making Sense of Unstructured Natural Language Information, Pages 173-183
Chapter 13 - Literature Mining and Ontology Mapping Applied to Big Data, Pages 184-208
Chapter 14 - Big Data Concerns in Autonomous AI Systems, Pages 209-226
Chapter 15 - The Legal Challenges of Big Data Application in Law Enforcement, Pages 229-237
Chapter 16 - Big Data and the Italian Legal Framework: Opportunities for Police Forces, Pages 238-249
Chapter 17 - Accounting for Cultural Influences in Big Data Analytics, Pages 250-260
Chapter 18 - Making Sense of the Noise: An ABC Approach to Big Data and Security, Pages 261-273
Glossary, Pages 275-278
Index, Pages 279-291