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

by Hussein A. Abbass

Overview

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.

Product Details

ISBN-13:	9783319384412
Publisher:	Springer International Publishing
Publication date:	07/25/2017
Edition description:	Softcover reprint of the original 1st ed. 2015
Pages:	218
Product dimensions:	6.10(w) x 9.25(h) x (d)

Table of Contents

The Art of Red Teaming.- Analytics of Risk and Challenge.- Big–Data–to–Decisions Red Teaming Systems.- Case Studies on Computational Red Teaming.- The Way Forward.