Adversarial and Uncertain Reasoning for Adaptive Cyber Defense: Control- and Gam

Description: Adversarial and Uncertain Reasoning for Adaptive Cyber Defense by Sushil Jajodia, George Cybenko, Peng Liu, Cliff Wang, Michael Wellman 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. FORMAT Paperback LANGUAGE English CONDITION Brand New Publisher Description Todays 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. Back Cover Todays 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. Table of Contents Overview of Control and Game Theory in Adaptive Cyber-Defenses.- Control Theoretic Approaches to Cyber-Security.- Game-Theoretic Approaches to Cyber-Security: Issues and Challenges and Results.- Reinforcement Learning for Adaptive Cyber Defense against Zero-day Attacks.- Moving Target Defense Quantification.- Empirical Game-Theoretic Methods for Adaptive Cyber-Defense.- MTD Techniques for Memory Protection against Zero-Day Attacks.- Adaptive Cyber Defenses for Botnet Detection and Mitigation.- Optimizing Alert Data Management Processes at a Cyber Security Operations Center.- Online and Scalable Adaptive Cyber Defense. Feature Presents a new class of technologies that help prevent cyber attacks Features research by international experts Synthesizes recent advances Details ISBN3030307182 Pages 263 Year 2019 ISBN-10 3030307182 ISBN-13 9783030307189 Publication Date 2019-09-02 Short Title Adversarial and Uncertain Reasoning for Adaptive Cyber Defense Language English Format Paperback Subtitle Control- and Game-Theoretic Approaches to Cyber Security DOI 10.1007/978-3-030-30719-6 DEWEY 005.8 Series Number 11830 UK Release Date 2019-09-02 Edition 1st Imprint Springer Nature Switzerland AG Place of Publication Cham Country of Publication Switzerland Illustrations 45 Illustrations, color; 75 Illustrations, black and white; VII, 263 p. 120 illus., 45 illus. in color. Author Michael Wellman Publisher Springer Nature Switzerland AG Edition Description 1st ed. 2019 Edited by Michael Wellman Audience Professional & Vocational Series Lecture Notes in Computer Science We've got this At The Nile, if you're looking for it, we've got it. With fast shipping, low prices, friendly service and well over a million items - you're bound to find what you want, at a price you'll love! TheNile_Item_ID:132341878;

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