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A Game-Theoretic Approach for Dynamic Information Flow Tracking to Detect Multistage Advanced Persistent Threats.

, , , , , , and . IEEE Trans. Autom. Control., 65 (12): 5248-5263 (2020)

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Approximating Constrained Minimum Cost Input-Output Selection for Generic Arbitrary Pole Placement in Structured Systems., , and . CoRR, (2017)A Multi-Agent Reinforcement Learning Approach for Dynamic Information Flow Tracking Games for Advanced Persistent Threats., , , , , and . CoRR, (2020)Multi-stage Dynamic Information Flow Tracking Game., , , , , and . GameSec, volume 11199 of Lecture Notes in Computer Science, page 80-101. Springer, (2018)Stochastic Dynamic Information Flow Tracking game using supervised learning for detecting advanced persistent threats., , , , , and . Autom., (January 2024)Approximating constrained minimum cost input-output selection for generic arbitrary pole placement in structured systems., , and . Autom., (2019)Distributed Stochastic Bandit Learning with Delayed Context Observation., and . ECC, page 1-6. IEEE, (2023)Target Controllability of Structured Systems., , , and . ECC, page 3484-3489. IEEE, (2019)Minimal Input Structural Modifications for Strongly Structural Controllability., , and . CoRR, (2023)A Flow-Network-Based Polynomial-Time Approximation Algorithm for the Minimum Constrained Input Structural Controllability Problem., , and . IEEE Trans. Automat. Contr., 63 (9): 3151-3158 (2018)Quickest Detection of Advanced Persistent Threats: A Semi-Markov Game Approach., , , , , and . ICCPS, page 9-19. IEEE, (2020)