Journal of Terahertz Science and Electronic Information Technology , Volume. 20, Issue 2, 181(2022)

Attack and defense optimization of wireless sensor network nodes based on game theory

ZHOU Quanxing1、*, LI Qiuxian1, WANG Zhenlong1, and WU Yulong2
Author Affiliations
  • 1[in Chinese]
  • 2[in Chinese]
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    Aiming at the contradiction between security requirements and resource consumption of wireless network nodes, a wireless sensor network node optimization game model is proposed based on game theory. Firstly, by analyzing the attack cost of the attacker and the defense cost of the defender in the network node, the utility function of the offense and defense is analyzed based on game theory, and the offense and defense game model is constructed. Secondly, according to the different action strategies selected by the offensive and defensive parties in the network node, combined with information theory technology, the offensive and defensive parties are abstracted into random variables, and the game channel model is designed. Then, the attack cost of the attacker and the defense cost of the defender are analyzed according to the channel capacity and Nash equilibrium fusion theorem. When the utility of both parties in the game reaches the Nash equilibrium, it is equal to the channel capacity. At this time, the action strategy adopted by both parties is the Nash equilibrium solution of the game. Finally, through experiments and simulations on the designed model, the results show that the model effectively reduces the defense overhead of the network system and prolongs the life cycle of the network system while ensuring the security of the wireless transmission network.

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    ZHOU Quanxing, LI Qiuxian, WANG Zhenlong, WU Yulong. Attack and defense optimization of wireless sensor network nodes based on game theory[J]. Journal of Terahertz Science and Electronic Information Technology , 2022, 20(2): 181

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    Paper Information

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    Received: Nov. 27, 2020

    Accepted: --

    Published Online: Apr. 21, 2022

    The Author Email: Quanxing ZHOU (aqxgzs@163.com)

    DOI:10.11805/tkyda2020659

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