Abstract
While the advancement of network technology has brought convenience to people’s lives, there are also potential threats. Cyberspace security is closely related to national security. DDos attacks exploit protocol vulnerabilities and use malicious traffic from multiple sources to attack networks and network services, have caused huge economic losses to users and service providers. Based on the evolutionary game theory, this paper models both the offense and defense of DDos, and studies the offense and defense of DDos from a micro perspective. Through the elaboration of the conflict of interest between the attackers and the defenders, the evolutionary game and simulation are carried out. The model and simulation results show that the attackers are more inclined to launch attacks, and the defenders’ strategy choices are related to the cost of the active defense system.
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Zhao, T., Zhang, W., Li, X., Wang, W., Niu, X., Guo, H. (2022). Research on Offense and Defense of DDos Based on Evolutionary Game Theory. In: Sun, X., Zhang, X., Xia, Z., Bertino, E. (eds) Artificial Intelligence and Security. ICAIS 2022. Lecture Notes in Computer Science, vol 13340. Springer, Cham. https://doi.org/10.1007/978-3-031-06791-4_1
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