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Adversarial and Uncertain Reasoning for Adaptive Cyber Defense: Control- and Game-Theoretic Approaches to Cyber Security by Sushil Jajodia at Abbey's Bookshop,
Adversarial and Uncertain Reasoning for Adaptive Cyber Defense: Control- and Game-Theoretic Approaches...
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Sushil Jajodia George Cybenko

Adversarial and Uncertain Reasoning for Adaptive Cyber Defense

Control- and Game-Theoretic Approaches to Cyber Security

Sushil Jajodia,  George Cybenko,  Peng Liu ,  Cliff Wang

$147.95   $118.08

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English
Springer Nature Switzerland AG
02 September 2019
Computing: general; Computer hardware; Network hardware; Computer fraud & hacking; Maths for computer scientists
Series: Lecture Notes in Computer Science
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 gametheory to address the goal of computing effective strategies in dynamic, adversarial environments.

 
Edited by:   , , , ,
Imprint:   Springer Nature Switzerland AG
Country of Publication:   Switzerland
Edition:   2019 ed.
Volume:   11830
Dimensions:   Height: 235mm,  Width: 155mm, 
Weight:   454g
ISBN:   9783030307189
ISBN 10:   3030307182
Series:   Lecture Notes in Computer Science
Pages:   263
Publication Date:  
Audience:   Professional and scholarly ,  Undergraduate
Format:   Paperback
Publisher's Status:   Active

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