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Optimizing honeypot strategies against dynamic lateral movement using partially observable stochastic games.

, , , , and . Comput. Secur., (2019)

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General-Sum Cyber Deception Games under Partial Attacker Valuation Information., , , , and . AAMAS, page 2215-2217. International Foundation for Autonomous Agents and Multiagent Systems, (2019)Quality-bounded solutions for finite Bayesian Stackelberg games: scaling up., , and . AAMAS, page 997-1004. IFAAMAS, (2011)Approximation methods for infinite Bayesian Stackelberg games: modeling distributional payoff uncertainty., , and . AAMAS, page 1005-1012. IFAAMAS, (2011)Software Assistants for Randomized Patrol Planning for the LAX Airport Police and the Federal Air Marshal Service., , , , , , and . Interfaces, 40 (4): 267-290 (2010)Value-driven procurement in the TAC supply chain game., , , and . SIGecom Exch., 4 (3): 9-18 (2004)Local Context Normalization: Revisiting Local Normalization., , , , , , and . CoRR, (2019)An extended study on multi-objective security games., , , , and . Auton. Agents Multi Agent Syst., 28 (1): 31-71 (2014)Methods and Algorithms for Infinite Bayesian Stackelberg Security Games - (Extended Abstract)., , and . GameSec, volume 6442 of Lecture Notes in Computer Science, page 257-265. Springer, (2010)Multi-objective optimization for security games., , , , and . AAMAS, page 863-870. IFAAMAS, (2012)Integrated Learning and Feature Selection for Deep Neural Networks in Multispectral Images., , , , , and . CVPR Workshops, page 1196-1205. Computer Vision Foundation / IEEE Computer Society, (2018)