A game theoretic approach based on intrusion tolerant systems

Sanoussi, Nouhad; Orhanou, Ghizlane; Hajji, Saïd El

doi:10.1504/ijsn.2020.109698

Cited by 2 publications

(1 citation statement)

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“…di Giandomenico et al [17] proposed a redundancy scheme for enhanced intrusion tolerance that improves the defense of the system against cyber attacks. Sanoussi et al [18] used game theory to quantify cyberattacks and defense based on intrusion-tolerant systems to support the development of more effective cybersecurity strategies. Zhao et al [19] proposed an adaptive neural network fault-tolerant control scheme for effective boundary control of flexible strings with uncertainties.…”

Section: Intrusion Tolerancementioning

confidence: 99%

A Data Intrusion Tolerance Model Based on an Improved Evolutionary Game Theory for the Energy Internet

Deng,

Yuan

2024

CMC

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Malicious attacks against data are unavoidable in the interconnected, open and shared Energy Internet (EI), Intrusion tolerant techniques are critical to the data security of EI. Existing intrusion tolerant techniques suffered from problems such as low adaptability, policy lag, and difficulty in determining the degree of tolerance. To address these issues, we propose a novel adaptive intrusion tolerance model based on game theory that enjoys two-fold ideas: 1) it constructs an improved replica of the intrusion tolerance model of the dynamic equation evolution game to induce incentive weights; and 2) it combines a tournament competition model with incentive weights to obtain optimal strategies for each stage of the game process. Extensive experiments are conducted in the IEEE 39-bus system, whose results demonstrate the feasibility of the incentive weights, confirm the proposed strategy strengthens the system's ability to tolerate aggression, and improves the dynamic adaptability and response efficiency of the aggression-tolerant system in the case of limited resources.

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Section: Intrusion Tolerancementioning

confidence: 99%