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Application of Big Data for National Security
A Practitioner’s Guide to Emerging Technologies
This text introduces state-of-the-art concepts and technologies surrounding big data, providing users with a strategic framework that can be used to combat terrorism and reduce crime.
Babak Akhgar (Author), Gregory B. Saathoff (Author), Hamid R Arabnia (Author), Richard Hill (Author), Andrew Staniforth (Author), Petra Saskia Bayerl (Author)
9780128019672
Paperback, published 17 February 2015
316 pages
23.4 x 19 x 2.1 cm, 0.66 kg
"Law enforcement and intelligence practitioners will especially be interested in the case studies on how big data and high performance analytics have been used to uncover terrorist plots…" --Journal of Counterterrorism and Homeland Security International
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
Section 1: Introduction to Big DataChapter 1 – An Introduction to Big DataChapter 2 – Drilling into the Big Data Goldmine: Data Fusion and High Performance Analytics for Intelligence Professionals Section 2: Core Concepts and Application ScenariosChapter 3 – Harnessing the Power of Big Data to Counter International TerrorismChapter 4 – Big Data and Law Enforcement: Advances, Implications, and Lessons from an Active Shooter Case StudyChapter 5 – Interpretation and Insider Threat: Re-Reading the Anthrax Mailings of 2001 Through a "Big Data" LensChapter 6 – Critical Infrastructure Protection by Harnessing Big DataChapter 7 – Military and Big Data RevolutionChapter 8 – Cyber-Crime, Attack-Motivations and Implications for Big Data and National Security Section 3: Mathods and Technological SolutionsChapter 9 – Requirements and Challenges for Big Data ArchitectureChapter 10 – Tools and Technologies for the Implementation of Big DataChapter 11 – Mining Social Media: Architecture, Tools, and Approaches to Detect Criminal ActivityChapter 12 – Making Sense of Unstructured Natural Language InformationChapter 13 – Literature Mining and Ontology Mapping Applied to Big DataChapter 14 – Big Data Concerns in Autonomous AI Systems Section 4: Legal and Social ChallengesChapter 15 – The Legal Challenges of Big Data Applications in Law EnforcementChapter 16 – Big Data and the Italian Legal FrameworkChapter 17 – Accounting for Cultural Influences in Big Data AnalyticsChapter 18 – Making Sense of the Noise: An ABC Approach to Big Data and Security
Subject Areas: Computer security [UR]
