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Titlebook: Adversarial and Uncertain Reasoning for Adaptive Cyber Defense; Control- and Game-Th Sushil Jajodia,George Cybenko,Michael Wellman Book 201

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發(fā)表于 2025-3-21 16:24:27 | 只看該作者 |倒序瀏覽 |閱讀模式
期刊全稱Adversarial and Uncertain Reasoning for Adaptive Cyber Defense
期刊簡稱Control- and Game-Th
影響因子2023Sushil Jajodia,George Cybenko,Michael Wellman
視頻videohttp://file.papertrans.cn/151/150413/150413.mp4
發(fā)行地址Presents a new class of technologies that help prevent cyber attacks.Features research by international experts.Synthesizes recent advances
學(xué)科分類Lecture Notes in Computer Science
圖書封面Titlebook: Adversarial and Uncertain Reasoning for Adaptive Cyber Defense; Control- and Game-Th Sushil Jajodia,George Cybenko,Michael Wellman Book 201
影響因子.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. ..?. . .
Pindex Book 2019
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Lecture Notes in Computer Sciencehttp://image.papertrans.cn/a/image/150413.jpg
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Adversarial and Uncertain Reasoning for Adaptive Cyber Defense978-3-030-30719-6Series ISSN 0302-9743 Series E-ISSN 1611-3349
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Jenny E. Ligthart,Frederick van der Ploegarget Defenses and Adaptive Cyber Defense. We begin by observing that there are fundamental differences between control models and game models that are important for security practitioners to understand. Those differences will be illustrated through simple but realistic cyber operations scenarios, e
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https://doi.org/10.1007/978-94-015-7959-9olution approaches to stochastic dynamic games with asymmetric information and identify the difficulties/challenges associated with these approaches. We present a solution methodology for stochastic dynamic games with asymmetric information that resolves some of these difficulties. Our main results
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