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Adversarial and uncertain reasoning ...

Jajodia, Sushil.

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Adversarial and uncertain reasoning for adaptive cyber defense = control- and game-theoretic approaches to cyber security /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Adversarial and uncertain reasoning for adaptive cyber defense/ edited by Sushil Jajodia ... [et al.].
Reminder of title:	control- and game-theoretic approaches to cyber security /
other author:	Jajodia, Sushil.
Published:	Cham :Springer International Publishing : : 2019.,
Description:	vii, 263 p. :ill. (some col.), digital ;24 cm.
[NT 15003449]:	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.
Contained By:	Springer Nature eBook
Subject:	Cyber intelligence (Computer security) - Congresses. -
Online resource:	https://doi.org/10.1007/978-3-030-30719-6
ISBN:	9783030307196

Adversarial and uncertain reasoning for adaptive cyber defense = control- and game-theoretic approaches to cyber security /
Adversarial and uncertain reasoning for adaptive cyber defensecontrol- and game-theoretic approaches to cyber security /[electronic resource] :edited by Sushil Jajodia ... [et al.]. - Cham :Springer International Publishing :2019. - vii, 263 p. :ill. (some col.), digital ;24 cm. - Lecture notes in computer science,118300302-9743 ;. - Lecture notes in computer science ;11830..

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.

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.

ISBN: 9783030307196

Standard No.: 10.1007/978-3-030-30719-6doiSubjects--Topical Terms:

2074226
Cyber intelligence (Computer security)
--Congresses.

LC Class. No.: QA76.9.A25 / A38 2019

Dewey Class. No.: 005.8

Adversarial and uncertain reasoning for adaptive cyber defense = control- and game-theoretic approaches to cyber security /
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