Titlebook: Autonomous Cyber Deception; Reasoning, Adaptive Ehab Al-Shaer,Jinpeng Wei,Cliff Wang Textbook 2019 Springer Nature Switzerland AG 2019 cyb

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https://doi.org/10.1007/978-3-030-02110-8cyber deception; deception metrics; deep learning; adversarial cyber deception; differential privacy; dec

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William J. Lenhart,Giuseppe Liottaigence collectors. Honeypot deception can be made more effective when applied with variety. We discuss the range of deception tactics of which honeypots can take advantage. Ideas can come from deception theory, and honeypot deceptions can benefit from planning and experimentation.

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Genus, Treewidth, and Local Crossing Numberr adversaries that try to discover and exploit vulnerabilities. To improve cyber agility of networks, the NetShifter performs multi-dimensional network-level adaptive defense in full scale beyond physical constraints of the networks by adopting the software-defined network (SDN).

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