Attack–Defense Game Model with Multi-Type Attackers Considering Information Dilemma

Author:

Qi Gaoxin,Li Jichao,Xu Chi,Chen Gang,Yang Kewei

Abstract

Today, people rely heavily on infrastructure networks. Attacks on infrastructure networks can lead to significant property damage and production stagnation. The game theory provides a suitable theoretical framework for solving the problem of infrastructure protection. Existing models consider only the beneficial effects that the defender obtains from information gaps. If the attacker’s countermeasures are ignored, the defender will become passive. Herein, we consider that a proficient attacker with a probability in the game can fill information gaps in the network. First, we introduce the link-hiding rule and the information dilemma. Second, based on the Bayesian static game model, we establish an attack–defense game model with multiple types of attackers. In the game model, we consider resource-consistent and different types of distributions of the attacker. Then, we introduce the solution method of our model by combining the Harsanyi transformation and the bi-matrix game. Finally, we conduct experiments using a scale-free network. The result shows that the defender can be benefited by hiding some links when facing a normal attacker or by estimating the distribution of the attacker correctly. The defender will experience a loss if it ignores the proficient attacker or misestimates the distribution.

Funder

National Natural Science Foundation of China

Science and Technology Innovative Research Team in Higher Educational Institutions of Hunan Province

Science Foundation for Outstanding Youth Scholars of Hunan Province

Publisher

MDPI AG

Subject

General Physics and Astronomy

Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Protecting Infrastructure Networks: Solving the Stackelberg Game with Interval-Valued Intuitionistic Fuzzy Number Payoffs;Mathematics;2023-12-18

2. Confrontation Game in Complex Networks Based on Intuitionistic Fuzzy Set;2023 IEEE 3rd International Conference on Software Engineering and Artificial Intelligence (SEAI);2023-06-16

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