Titlebook: Cyber Deception; Techniques, Strategi Tiffany Bao,Milind Tambe,Cliff Wang Book 2023 This is a U.S. government work and not under copyright

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Cognitive Modeling for Personalized, Adaptive Signaling for Cyber Deception,ns. Because cognitive models are analytically tractable, they can guide, inform, and optimize the design of cyber deception techniques. We illustrate these concepts using an insider attacking game meant to abstract the dynamics and decision-making characteristics of real-world cyber defense. Finally

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HoneyPLC: A Next-Generation Honeypot for Industrial Control Systems,ible, and malware-collecting honeypot supporting a broad spectrum of PLC models and vendors. Experimental results show that HoneyPLC exhibits a high level of camouflaging: it is identified as real devices by multiple widely used reconnaissance tools, and it is also able to record a large amount of i

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Deceiving ML-Based Friend-or-Foe Identification for Executables,d found that it often achieved success rates near 100%. Moreover, we found that our attack can fool some commercial anti-viruses, in certain cases with a success rate of 85%. We explored several defenses, both new and old, and identified some that can foil over 80% of our evasion attempts. However,

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Angela Ann Joseph,Manju Mehta,Garima Shuklathe model behaviors with different types of attackers. Finally, we look into a human experiment conducted with the HackIT experimental testbed to see how effective the two-sided deception method is. We also discuss several real-world scenarios in which two-sided deception can be more advantageous th

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Suparna Kailash,Manju Mehta,Rajesh Sagartion is NP-hard even in the zero-sum. We provide a mixed-integer linear program formulation for the general problem with constraints on cost and feasibility, along with a pseudo-polynomial time algorithm for the special . setting. However, it is known that humans are limited cognitively in various w