Strategies of attack–defense game for wireless sensor networks considering the effect of confidence level in fuzzy environment

Wu, Yingfu; Kang, Bingyi; Wu, Hao

doi:10.1016/j.engappai.2021.104238

Cited by 11 publications

(1 citation statement)

References 22 publications

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“…Meanwhile, our T-S fuzzy trust model can obtain a more accurate trust evaluation value under the premise of ensuring the required stability of IoTs. Referring to [ 3 , 4 , 5 ], we design a repeated game model to perfect the energy-efficient privacy-preserving scheme, where the subgame Nash equilibrium of the repeated game model can balance the data security and network resource consumption [ 6 ]. The contributions of this research are given as follows: Firstly, we propose a novel privacy-preserving scheme based on T-S fuzzy trust theory to mitigate the pollution attacks, in which the security is proved according to the hardness of the discrete logarithm.…”

Section: Introductionmentioning

confidence: 99%

Fuzzy-Based Privacy-Preserving Scheme of Low Consumption and High Effectiveness for IoTs: A Repeated Game Model

Cao

Zhu

2022

Sensors

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In the Internet of things (IoTs), data transmission via network coding is highly vulnerable to intra-generation and inter-generation pollution attacks. To mitigate such attacks, some resource-intensive privacy-preserving schemes have been adopted in the previous literature. In order to balance resource consumption and data-privacy-preserving issues, a novel fuzzy-based privacy-preserving scheme is proposed. Our scheme is constructed on a T-S fuzzy trust theory, and network coding data streams are routed in optimal clusters formulated by a designed repeated game model to defend against pollution attacks. In particular, the security of our scheme relies on the hardness of the discrete logarithm. Then, we prove that the designed repeated game model has a subgame-perfect Nash equilibrium, and the model can improve resource utilization efficiency under the condition of data security. Simulation results show that the running time of the proposed privacy-preserving scheme is less than 1 s and the remaining energy is higher than 4 J when the length of packets is greater than 400 and the number of iterations is 100. Therefore, our scheme has higher time and energy efficiency than those of previous studies. In addition, the effective trust cluster formulation scheme (ETCFS) can formulate an optimal cluster more quickly under a kind of camouflage attack.

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Section: Introductionmentioning

confidence: 99%

Fuzzy-Based Privacy-Preserving Scheme of Low Consumption and High Effectiveness for IoTs: A Repeated Game Model

Cao

Zhu

2022

Sensors

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Data aggregation algorithm based on clustering for wireless sensor networks

Zhai

Yang

et al. 2022

Int J Adv Manuf Technol

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PPSO and Bayesian game for intrusion detection in WSN from a macro perspective

Liu,

Zheng

2024

Complex Intell. Syst.

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The security of wireless sensor networks is a hot topic in current research. Game theory can provide the optimal selection strategy for attackers and defenders in the attack-defense confrontation. Aiming at the problem of poor generality of previous game models, we propose a generalized Bayesian game model to analyze the intrusion detection of nodes in wireless sensor networks. Because it is difficult to solve the Nash equilibrium of the Bayesian game by the traditional method, a parallel particle swarm optimization is proposed to solve the Nash equilibrium of the Bayesian game and analyze the optimal action of the defender. The simulation results show the superiority of the parallel particle swarm optimization compared with other heuristic algorithms. This algorithm is proved to be effective in finding optimal defense strategy. The influence of the detection rate and false alarm rate of nodes on the profit of defender is analyzed by simulation experiments. Simulation experiments show that the profit of defender decreases as false alarm rate increases and decreases as detection rate decreases. Using heuristic algorithm to solve Nash equilibrium of Bayesian game provides a new method for the research of attack-defense confrontation. Predicting the actions of attacker and defender through the game model can provide ideas for the defender to take active defense.

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Strategies of attack–defense game for wireless sensor networks considering the effect of confidence level in fuzzy environment

Cited by 11 publications

References 22 publications

Fuzzy-Based Privacy-Preserving Scheme of Low Consumption and High Effectiveness for IoTs: A Repeated Game Model

Fuzzy-Based Privacy-Preserving Scheme of Low Consumption and High Effectiveness for IoTs: A Repeated Game Model

Data aggregation algorithm based on clustering for wireless sensor networks

PPSO and Bayesian game for intrusion detection in WSN from a macro perspective

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