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Adversarial and Uncertain Reasoning for Adaptive Cyber Defense: Control- and Game-Theoretic Approaches to Cyber Security
Edited by Sushil Jajodia, Edited by George Cybenko, Edited by Peng Liu, Edited by Cliff Wang, Edited by Michael Wellman
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normal price: R 1 923.95
Price: R 1 827.95
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| book description |
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. Â
| product details |
Normally shipped |
Publisher | Springer Nature Switzerland AG
Published date | 2 Sep 2019
Language |
Format | Paperback / softback
Pages | 263
Dimensions | 235 x 155 x 0mm (L x W x H)
Weight | 0g
ISBN | 978-3-0303-0718-9
Readership Age |
BISAC | computers / security
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Normally shipped |
Readership Age |
Normal Price | R 2 591.95
Price | R 2 461.95
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