Application of Big Data for National Security: A Practitioner’s Guide to Emerging Technologies
Akhgar, Babak; Saathoff, Gregory B.; Arabnia, Hamid R; Hill, Richard; Staniforth, Andrew; Bayerl, Petra Saskia
Language: English
Published by Butterworth-Heinemann, 2015
- Softcover
- New

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- Title
- Application of Big Data for National Security: A Practitioner’s Guide to Emerging Technologies
- Author
- Akhgar, Babak; Saathoff, Gregory B.; Arabnia, Hamid R; Hill, Richard; Staniforth, Andrew; Bayerl, Petra Saskia
- Publisher
- Butterworth-Heinemann
- Publication year
- 2015
- Condition
- New
- Binding
- Soft cover
- Language
- English
- ISBN 10
- 0128019670
- ISBN 13
- 9780128019672
- Item weight
- 740 grams
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
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About the Author
Hamid R. Arabnia is currently a Full Professor of Computer Science at University of Georgia where he has been since October 1987. His research interests include Parallel and distributed processing techniques and algorithms, interconnection networks, and applications in Computational Science and Computational Intelligence (in particular, in image processing, medical imaging, bioinformatics, and other computational intensive problems). Dr. Arabnia is Editor-in-Chief of The Journal of is Associate Editor of IEEE Transactions on Information Technology in Biomedicine . He has over 300 publications (journals, proceedings, editorship) in his area of research in addition he has edited two titles Emerging Trends in ICT Security (Elsevier 2013), and Advances in Computational Biology (Springer 2012).
Andrew Staniforth, Detective Inspector and Advisory Board Member and Senior Research Fellow, Centre of Excellence in Terrorism, Resilience, Intelligence and Organised Crime Research (CENTRIC).
"About the title" may belong to another edition of this title.
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