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Computational Red Teaming Risk Analytics of Big-Data-to-Decisions Intelligent Systems

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Written to bridge the information needs of management and computational scientists, this book presents the first comprehensive treatment of Computational Red Teaming (CRT).℗ℓ The author describes an analytics environment that blends human reasoning and computational modeling to design risk-aware and evidence-based smart decision making systems. He presents the Shadow CRT Machine, which shadows the operations of an actual system to think with decision makers, challenge threats, and design remedies. This is the first book to generalize red teaming (RT) outside the military and security domains and it offers coverage of RT principles, practical and ethical guidelines. The author utilizes Gilbertℓ́ℓs principles for introducing a science. Simplicity: where the book follows a special style to make it accessible to a wide range of ℗ℓreaders. Coherence:℗ℓ where only necessary elements from experimentation, optimization, simulation, data mining, big data, cognitive information processing, and system thinking are blended together systematically to present CRT as the science of Risk Analytics and Challenge Analytics. Utility: where the author draws on a wide range of examples, ranging from job interviews to Cyber operations, before presenting three case studies from air traffic control technologies, human behavior, and complex socio-technical systems involving real-time mining and integration of human brain data in the decision making environment.℗ℓ ℗ℓ ℓ́Ø℗ℓPresents first comprehensive treatment of Computational Red Teaming; ℓ́Ø℗ℓProvides balanced coverage of the topic from the perspectives of risk thinking and computational modeling; ℓ́Ø℗ℓIncludes thorough coverage of the computational approach to the problem; ℓ́Ø℗ℓLinks risk analytics and challenge analytics with the right set of computational tools to assess risk in complex, ℓ́ℓbig-dataℓ́ℓ situations

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Detail Information

Series Title

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Call Number

004

Publisher

Cham : Springer., 2015

Collation

xxiii, 218 pages

Language

English

ISBN/ISSN

9783319082806

Classification

004

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Media Type

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Carrier Type

online resource

Edition

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Subject(s)

Computer security

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Cataloger

Kurnadi

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