A method for analyzing Stackelberg attack–defense game model in 5G by tCPSO

Liu, Ning; Liu, Shangkun; Chai, Qing-Wei; Zheng, Weimin

doi:10.1016/j.eswa.2023.120386

Cited by 9 publications

(2 citation statements)

References 47 publications

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“…He obtains the maximum payoff of the model by analyzing the Nash equilibrium [34]. Liu combines intelligent computing with Stackelberg game to analyze the attack and defense adversarial behavior under a graph structure network [35]. Yang proposes a WSN offense and defense game model for multiple crimes.…”

Section: Application Of Game Theory To Network Securitymentioning

confidence: 99%

A Game Model for Analyzing Wireless Sensor Networks of 5G Environment Based on Adaptive Equilibrium Optimizer Algorithm

Zheng,

Meng,

Liu

et al. 2023

Sensors

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Wireless sensors networks (WSNs) play an important role in life. With the development of 5G, its security issues have also raised concerns. Therefore, it is an important topic to study the offense and defense confrontation in WSNs. A complete information static game model is established to analyze the offense and defense confrontation problem of WSNs in 5G. An adaptive equilibrium optimizer algorithm (AEO) based on parameter adaptive strategy is proposed, which can jump out of the local optimal solution better. Experiments show that the optimization ability of AEO outperforms other algorithms on at least 80% of the 23 classical test functions of CEC. The convergence speed of AEO is better in the early stage of population iteration. The optimal offensive and defensive strategy under different offense and defense resources through simulation experiments is analyzed. The conclusion shows that when the offensive resources are large, the offender takes an indiscriminate attack. When the defense resources are small, the defender should defend the most important elements, and when the defense resources are large, the defender should allocate the same resources to defend each element to obtain the maximum benefit. This paper provides new solution ideas for the security problems under the offense and defense game in WSNs.

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Section: Application Of Game Theory To Network Securitymentioning

confidence: 99%

A Game Model for Analyzing Wireless Sensor Networks of 5G Environment Based on Adaptive Equilibrium Optimizer Algorithm

Zheng,

Meng,

Liu

et al. 2023

Sensors

Self Cite

View full text Add to dashboard Cite

show abstract

“…Liu et al [23] established an attack-defensive game model based on a Stackelberg game under asymmetric information, obtaining a defensive resource allocation strategy to optimize the network robustness. Liu et al [24] established a Stackelberg game model based on a 5G network graph and proposed compact particle swarm optimization based on the location-scale distribution to solve the Nash equilibrium.…”

Section: Introductionmentioning

confidence: 99%

Protecting Infrastructure Networks: Solving the Stackelberg Game with Interval-Valued Intuitionistic Fuzzy Number Payoffs

Dong,

Liu,

Ren

et al. 2023

Mathematics

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Critical infrastructure is essential for the stability and development of modern society, and a combination of complex network theory and game theory has become a new research direction in the field of infrastructure protection. However, existing studies do not consider the fuzziness and subjective factors of human judgment, leading to challenges when analyzing strategic interactions between decision makers. This paper employs interval-valued intuitionistic fuzzy numbers (IVIFN) to depict the uncertain payoffs in a Stackelberg game of infrastructure networks and then proposes an algorithm to solve it. First, we construct IVIFN payoffs by considering the different complex network metrics and subjective preferences of decision makers. Next, we propose a lexicographic algorithm to solve this game based on the concept of a strong Stackelberg equilibrium (SSE). Finally, we conduct experiments on target scale-free networks. Our results illustrate that in an SSE, for the defender in a weak position, it is better to defend nodes with high degrees. The experiments also indicate that taking fuzziness into account leads to higher SSE payoffs for the defender. Our work aims to solve a Stackelberg game with IVIFN payoffs and apply it to enhance the protection of infrastructure networks, thereby improving their overall security.

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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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A method for analyzing Stackelberg attack–defense game model in 5G by tCPSO

Cited by 9 publications

References 47 publications

A Game Model for Analyzing Wireless Sensor Networks of 5G Environment Based on Adaptive Equilibrium Optimizer Algorithm

A Game Model for Analyzing Wireless Sensor Networks of 5G Environment Based on Adaptive Equilibrium Optimizer Algorithm

Protecting Infrastructure Networks: Solving the Stackelberg Game with Interval-Valued Intuitionistic Fuzzy Number Payoffs

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

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