Titlebook: Adaptive Autonomous Secure Cyber Systems; Sushil Jajodia,George Cybenko,Michael Wellman Book 2020 Springer Nature Switzerland AG 2020 Cybe

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Strategic Learning for Active, Adaptive, and Autonomous Cyber Defense, malformation syndromes to which access is essential. If computerized databases have solved THE DIAGNOSIS OF DYSMORPHIC some of the problems, why is there a need SYNDROMES for this book? There are many physicians who do not have a desk computer or do not History feel at ease in using one. In additio

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Phishing URL Detection with Lexical Features and Blacklisted Domains,roblems. Each of these enterprises produced some wastes. Finding a location to dispose of these wastes was not a difficult task. In less-enlightened times, governments resorted to fiat and land-condemnationto take the sites needed th for disposal. In the 19 century, industry grew rapidly in Great Br

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An Empirical Study of Secret Security Patch in Open Source Software,context. Our intention in writing this book has been to provide a compre­ hensive yet widely accessible overview of the main streams of thought within MCDA. We aim to provide readers with sufficient awareness of the underlying philosophies and theories, understanding of the practi­ cal details of the methods,978-1-4613-5582-3978-1-4615-1495-4

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Backup und Recovery in Datenbanksystemention planning and subsequently, deploying a customized deceptive network surface in real-time will be challenging if done manually. We envision that models inspired from the autonomic computing paradigm can efficiently tackle such challenges. To enable the development of such models and provide empi

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Backup und Recovery in Datenbanksystemeng the (1) network connectivity requirements, (2) the end-host security compliance reports based on vulnerabilities and configuration weaknesses, and (3) their dynamic threat indicators based on host intrusion detection and scoring tools. We then employ these metrics in a formal framework that automa

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Backup und Recovery in Datenbanksystementing the optimal deception strategy for the network administrator is NP-hard for both types of attackers. For the case with a powerful attacker, we provide two solution techniques that use mixed-integer linear programming, a reformulation method and a bisection algorithm, as well as a fast and effec

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https://doi.org/10.1007/978-3-663-09332-9uch as zero-day attacks. We introduce as an example a formal model of how these methods can be used to deploy honeypots for the purpose of detecting exploits, and present results from simulations using this model. We also present results from a second study with human participants showing that human