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Application of Big Data for National Security


Application of Big Data for National Security
  • Author : Babak Akhgar
  • Publisher : Butterworth-Heinemann
  • Release : 2015-02-19
  • ISBN : 9780128019733
  • Language : En, Es, Fr & De
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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

Big Data Surveillance and Security Intelligence


Big Data Surveillance and Security Intelligence
  • Author : David Lyon
  • Publisher : UBC Press
  • Release : 2020-12-01
  • ISBN : 9780774864206
  • Language : En, Es, Fr & De
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Intelligence gathering is in a state of flux. Enabled by massive computing power, new modes of communications analysis now touch the lives of citizens around the globe – not just those considered suspicious or threatening. Big Data Surveillance and Security Intelligence reveals the profound shift to “big data” practices that security agencies have made in recent years, as the increasing volume of information challenges traditional ways of gathering intelligence. In this astute collection, leading academics, civil society experts, and regulators debate the pressing questions this trend raises about civil liberties, human rights, and privacy protection in Canada.

Big Data Challenges


Big Data Challenges
  • Author : Anno Bunnik
  • Publisher : Springer
  • Release : 2016-05-13
  • ISBN : 9781349948857
  • Language : En, Es, Fr & De
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This book brings together an impressive range of academic and intelligence professional perspectives to interrogate the social, ethical and security upheavals in a world increasingly driven by data. Written in a clear and accessible style, it offers fresh insights to the deep reaching implications of Big Data for communication, privacy and organisational decision-making. It seeks to demystify developments around Big Data before evaluating their current and likely future implications for areas as diverse as corporate innovation, law enforcement, data science, journalism, and food security. The contributors call for a rethinking of the legal, ethical and philosophical frameworks that inform the responsibilities and behaviours of state, corporate, institutional and individual actors in a more networked, data-centric society. In doing so, the book addresses the real world risks, opportunities and potentialities of Big Data.

Guide to Big Data Applications


Guide to Big Data Applications
  • Author : S. Srinivasan
  • Publisher : Springer
  • Release : 2017-05-25
  • ISBN : 9783319538174
  • Language : En, Es, Fr & De
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This handbook brings together a variety of approaches to the uses of big data in multiple fields, primarily science, medicine, and business. This single resource features contributions from researchers around the world from a variety of fields, where they share their findings and experience. This book is intended to help spur further innovation in big data. The research is presented in a way that allows readers, regardless of their field of study, to learn from how applications have proven successful and how similar applications could be used in their own field. Contributions stem from researchers in fields such as physics, biology, energy, healthcare, and business. The contributors also discuss important topics such as fraud detection, privacy implications, legal perspectives, and ethical handling of big data.

Big Data Analytics with Applications in Insider Threat Detection


Big Data Analytics with Applications in Insider Threat Detection
  • Author : Bhavani Thuraisingham
  • Publisher : CRC Press
  • Release : 2017-11-22
  • ISBN : 9781498705486
  • Language : En, Es, Fr & De
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Today's malware mutates randomly to avoid detection, but reactively adaptive malware is more intelligent, learning and adapting to new computer defenses on the fly. Using the same algorithms that antivirus software uses to detect viruses, reactively adaptive malware deploys those algorithms to outwit antivirus defenses and to go undetected. This book provides details of the tools, the types of malware the tools will detect, implementation of the tools in a cloud computing framework and the applications for insider threat detection.