Adversarial and Uncertain Reasoning for Adaptive Cyber Defense - Control- and Game-Theoretic Approaches to Cyber Security (Paperback, 1st ed. 2019)

Today's cyber defenses are largely static allowing adversaries to pre-plan their attacks. In response to this situation, researchers have started to investigate various methods that make networked information systems less homogeneous and less predictable by engineering systems that have homogeneous functionalities but randomized manifestations. The 10 papers included in this State-of-the Art Survey present recent advances made by a large team of researchers working on the same US Department of Defense Multidisciplinary University Research Initiative (MURI) project during 2013-2019. This project has developed a new class of technologies called Adaptive Cyber Defense (ACD) by building on two active but heretofore separate research areas: Adaptation Techniques (AT) and Adversarial Reasoning (AR). AT methods introduce diversity and uncertainty into networks, applications, and hosts. AR combines machine learning, behavioral science, operations research, control theory, and game theory to address the goal of computing effective strategies in dynamic, adversarial environments.

General

Imprint:	Springer Nature Switzerland AG
Country of origin:	Switzerland
Series:	Security and Cryptology, 11830
Release date:	September 2019
First published:	2019
Editors:	Sushil Jajodia • George Cybenko • Peng Liu • Cliff Wang • Michael Wellman
Dimensions:	235 x 155mm (L x W)
Format:	Paperback
Pages:	263
Edition:	1st ed. 2019
ISBN-13:	978-3-03-030718-9
Categories:	Books > Computing & IT > General theory of computing > Mathematical theory of computation Books > Computing & IT > Computer communications & networking > General Books > Computing & IT > Social & legal aspects of computing > Computer fraud & hacking Books > Science & Mathematics > Mathematics > Applied mathematics > Mathematics for scientists & engineers
LSN:	3-03-030718-2
Barcode:	9783030307189

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