서지주요정보
Adversarial and Uncertain Reasoning for Adaptive Cyber Defense: Control- and Game-Theoretic Approaches to Cyber Security
서명 / 저자 Adversarial and Uncertain Reasoning for Adaptive Cyber Defense [electronic resource] : Control- and Game-Theoretic Approaches to Cyber Security / edited by Sushil Jajodia, George Cybenko, Peng Liu, Cliff Wang, Michael Wellman.
저자명 Jajodia, Sushil. editor. (orcid)0000-0003-3210-558X https://orcid.org/0000-0003-3210-558X edt http://id.loc.gov/vocabulary/relators/edt ; Cybenko, George. editor. edt http://id.loc.gov/vocabulary/relators/edt ; Liu, Peng. editor. edt http://id.loc.gov/vocabulary/relators/edt ; Wang, Cliff. editor. edt http://id.loc.gov/vocabulary/relators/edt ; Wellman, Michael. editor. edt http://id.loc.gov/vocabulary/relators/edt
단체명 SpringerLink (Online service)
판사항 1st ed. 2019.
발행사항 Cham : Springer International Publishing : Imprint: Springer, 2019.
총서명 Security and Cryptology, 2946-1863 ; 11830
Online Access https://doi.org/10.1007/978-3-... URL

서지기타정보

서지기타정보
ISBN 9783030307196
기타 표준번호 10.1007/978-3-030-30719-6
청구기호 HV6772-6773.3
형태사항 VII, 263 p. 120 illus., 45 illus. in color. online resource.
언어 English
내용 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.
주제 Computer crimes.
Computer engineering.
Computer networks .
Computers.
Computer science --Mathematics.
Mathematical statistics.
Computer Crime.
Computer Engineering and Networks.
Computing Milieux.
Computer Communication Networks.
Probability and Statistics in Computer Science.
보유판 및 특별호 저록 Springer Nature eBook
Printed edition: 9783030307189 Printed edition: 9783030307202
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