| 期刊全稱 | Adaptive Autonomous Secure Cyber Systems | | 影響因子2023 | Sushil Jajodia,George Cybenko,Michael Wellman | | 視頻video | http://file.papertrans.cn/145/144596/144596.mp4 | | 發(fā)行地址 | Presents the latest research on the attribution problem to help identify culprits of cyber-attacks.Describes how a variety of subfields of computer science are applied to cyber-security including arti | | 圖書封面 |  | | 影響因子 | This book explores fundamental scientific problems essential for autonomous cyber defense. Specific areas include:.Game and control theory-based moving target defenses (MTDs) and adaptive cyber defenses (ACDs) for fully autonomous cyber operations;.The extent to which autonomous cyber systems can be designed and operated in a framework that is significantly different from the human-based systems we now operate;.On-line learning algorithms, including deep recurrent networks and reinforcement learning, for the kinds of situation awareness and decisions that autonomous cyber systems will require;.Human understanding and control of highly distributed autonomous cyber defenses;.Quantitative performance metrics for the above so that autonomous cyber defensive agents can reason about the situation and appropriate responses as well as allowing humans to assess and improve the autonomous system..This book establishes scientific foundations for adaptive autonomous cyber systems and ultimately brings about a more secure and reliable Internet. The recent advances in adaptive cyber defense (ACD) have developed a range of new ACD techniques and methodologies for reasoning in an adaptive environm | | Pindex | Book 2020 |
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