Research on Offense and Defense of DDos Based on Evolutionary Game Theory

被引:0
|
作者
Zhao, Tengteng [1 ]
Zhang, Wei [1 ]
Li, Xiaolong [1 ]
Wang, Wenjing [1 ]
Niu, Xu [1 ]
Guo, Hui [2 ]
机构
[1] Beijing Inst Control & Elect Technol, Muxidi North St, Beijing 100038, Peoples R China
[2] Beijing Univ Posts & Telecommun, State Key Lab Networking & Switching Technol, Beijing 100876, Peoples R China
来源
ARTIFICIAL INTELLIGENCE AND SECURITY, ICAIS 2022, PT III | 2022年 / 13340卷
关键词
Network security; DDos attacks; Game theory; Evolutionary game theory;
D O I
10.1007/978-3-031-06791-4_1
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
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.
引用
收藏
页码:3 / 15
页数:13
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