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

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

作者: Babak Akhgar Gregory B. Saathoff Hamid R Arabnia Richard Hill Andrew Staniforth Petra Saskia Bayerl
出版社: Butterworth-Heineman
出版在: 2015-02-17
ISBN-13: 9780128019672
ISBN-10: 0128019670
裝訂格式: Paperback
總頁數: 316 頁





內容描述


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 preventionPresents strategic approaches for the design, adoption, and deployment of Big Data technologies in preventing terrorism and reducing crimeIncludes a series of case studies and scenarios to demonstrate the application of Big Data in a national security contextIndicates future directions for Big Data as an enabler of advanced crime prevention and detection




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