| 期刊全称 | Adversarial and Uncertain Reasoning for Adaptive Cyber Defense | | 期刊简称 | Control- and Game-Th | | 影响因子2023 | Sushil Jajodia,George Cybenko,Michael Wellman | | 视频video | | | 发行地址 | Presents a new class of technologies that help prevent cyber attacks.Features research by international experts.Synthesizes recent advances | | 学科分类 | Lecture Notes in Computer Science | | 图书封面 |  | | 影响因子 | .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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发表于 2025-3-21 16:24:27
