Biobjective robust Network-wide traffic signal optimization against Cyber-attacks

Bao, Ji; Zheng, Liang; Ban, Xuegang

doi:10.1016/j.trc.2023.104124

Cited by 6 publications

(1 citation statement)

References 46 publications

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“…Finding the conditions for UC and TSM to give up defense will help security officers avoid such a situation. Finding out the condition of the attacker to abandon the attack can also effectively reduce the occurrence of UTC system security accidents [21]. Therefore, EGT is used to analyze and study the offensive and defensive game process of UTC system security.…”

Section: Problem Formulationmentioning

confidence: 99%

Research on information security of urban traffic control system based on tripartite evolutionary game

Li,

Pan,

Wang

et al. 2024

Preprint

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In recent years, emerging technologies such as smart cities, Urban Traffic brains, and car networking are vigorously promoting the intelligent development of urban traffic signals, which means that the Urban Traffic Control (UTC) system will interact with more and more network and physical terminals, which will lead to more malicious attacks and information destruction. It will be a great threat to the personal and property safety of participants in urban traffic. In response to this severe demand, this paper studied the network topology of UTC system and based on the tripartite evolutionary game theory (TEG), A Signal control security game model involving attackers, Upper Computer (UC) and Traffic Signal Machine (TSM) is designed, and the evolutionary stability of strategy selection of each participant is analyzed. This paper discusses the comprehensive judgment principle of each element on attack cost and defense cost, compares the influence of tripartite strategy selection, and further analyzes the stability of equilibrium point in tripartite evolutionary information security game system with Lyapunov's first method. Finally, by using real data and MATLAB simulation analysis, the impact of key parameters such as attack cost, defense cost and detection rate on information security game participants is verified, making theoretical contributions to enhancing the security of urban traffic signal control system.

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Section: Problem Formulationmentioning

confidence: 99%