Computational Red Teaming

Name: Computational Red Teaming
Brand: Springer International Publishing AG
SKU: 9783319384412
Price: 39186 HUF
Availability: InStock

Risk Analytics of Big-Data-to-Decisions Intelligent Systems

Szerző: Hussein A. Abbass

Nyelv:

Kötés: Puha kötésű

Kiadó: Springer International Publishing AG

Elérhetőség: Beszállítói készleten

Küldés 5-8 napon belül

39 186 Ft

Written to bridge the information needs of management and computational scientists, this book presen...

Információk a könyvről

Szerző

Hussein A. Abbass

Nyelv

Angol

Kötés

Könyv - Puha kötésű

Kiadva

2016

oldal

218

EAN

9783319384412

ISBN

3319384414

Enbook ID

13513345

Kiadó

Springer International Publishing AG

Súly

3752

Méretek

155 x 235 x 14

Teljes leírás

Written to bridge the information needs of management and computational scientists, this book presents the first comprehensive treatment of Computational Red Teaming (CRT). 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 Gilbert's principles for introducing a science. Simplicity: where the book follows a special style to make it accessible to a wide range of readers. Coherence: 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.§§

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Computational Red Teaming

Risk Analytics of Big-Data-to-Decisions Intelligent Systems

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Teljes leírás

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