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Optimal defense strategies to improve the security and resilience of Smart Grids

Abstract : The evolution of the threat landscape has made the security risk management in the smart grid a challenging task. This thesis addresses this problem and proposes solutions based on non-cooperative game theory, attack graphs and Constrained Markov Decision Processes (CMDPs). In the first part of this thesis, using the framework of non-cooperative game theory, we define and solve models to optimize the deployment of defense resources in the smart grid. We find the optimal choice of security modes to enable on each equipment in the Advanced Metering Infrastructure (AMI) to protect the confidentiality of customers’ data. In addition, we present an analytical model for identifying and hardening the most critical communication equipment used in the power system. In order to improve the security of industrial control systems, the defense strategy needs to be both proactive by anticipating potential targets of adversaries, and reactive by adjusting the type and strength of the response to the threat level. In the second part of this thesis, we address this challenge by presenting a solution that computes the optimal security policy that guarantees that the defender’s objectives are satisfied. This policy is obtained by solving a CMDP built using information in an attack graph generated beforehand that represents the evolution of the attacker’s state in the system.
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Submitted on : Tuesday, August 16, 2022 - 4:10:11 PM
Last modification on : Thursday, August 18, 2022 - 3:26:26 AM


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  • HAL Id : tel-03752359, version 1


Ziad Ismail. Optimal defense strategies to improve the security and resilience of Smart Grids. Cryptography and Security [cs.CR]. Télécom ParisTech, 2016. English. ⟨NNT : 2016ENST0026⟩. ⟨tel-03752359⟩



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