Open AccessResearch on Robustness of Critical information infrastructure Based on Attack-Defensive Game Model
Author(s) -
Diyang Liu,
Zhen Zhang
Publication year - 2021
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1738/1/012112
Subject(s) - robustness (evolution) , stackelberg competition , computer science , stochastic game , information asymmetry , game theory , complete information , computer security , operations research , microeconomics , economics , mathematics , biochemistry , chemistry , gene
Because the traditional network robustness research ignores the confrontation process and information asymmetry conditions, this paper analyzes the impact of information asymmetry conditions on the robustness and simulates the information asymmetry conditions through a perturbation model. Based on the stackelberg game, an attack-defensive game model under asymmetric information is established, by solving the game equilibrium solution, the defensive resource allocation strategy that optimizes the network robustness is obtained. The simulation results show that when attack resources are scarce, the attacker tends to respond with a low priority attack; when the attack resources are abundant, the attacker tends to have a high priority attack response. Under the mixed defensive strategy corresponding to the equilibrium solution of the game, the optimization rate of the defender's robustness payoff compared with the expected return under the pure strategy reached 4% to 12%.