A differential game view of antagonistic dynamics for cybersecurity

doi:10.1016/j.comnet.2021.108494

	A differential game view of antagonistic dynamics for cybersecurity
	Wang, Shengling 1,2; Pu, Yu 1; Shi, Hongwei 1; Huang, Jianhui 3; Xiao, Yinhao 4
刊名	COMPUTER NETWORKS
	2021-12-09
卷号	200 页码:11
关键词	Antagonistic dynamics Cybersecurity Differential game Saddle point
ISSN号	1389-1286
DOI	10.1016/j.comnet.2021.108494
英文摘要	A fundamental understanding of the dynamics of the antagonism between the attacker and the defender can strengthen forward-looking and strategic planning for the cybersecurity. Most of the existing works have one or more of the following limitations: static modeling, non co-evolved strategy and synchronized setting, not accounting for the dynamic nature of the cyber arms race between the defensive and offensive sides. In this paper, we apply differential game theory to analyze the antagonistic dynamics between the attacker and the defender and study two complementary game theoretic formulations, namely the black-box game the and the white-box game: The black-box game can cogently model the opaque-information confrontation and the white-box one is capable to depict the partially transparent-information confrontation. To gain insight into the evolution rule of the antagonistic dynamics between the defensive and the offensive sides, we establish the existence of the Nash equilibrium and the corresponding conditions in the black-box game. Moreover, an iteration algorithm is designed to find the numerical solutions of the Nash equilibrium in the general case and further its analytical solutions in a special case for the white-box game. Extensive numerical simulations have been carried out to evaluate the performance of the proposed games.
资助项目	National Key R&D Program of China[2019YFB2102600] ; National Natural Science Founda-tion of China[61772080] ; National Natural Science Founda-tion of China[62072044] ; National Natural Science Founda-tion of China[62077044] ; National Natural Science Founda-tion of China[62002067] ; Blockchain Core Technology Strategic Research Program of Min-istry of Education of China[2020KJ010301] ; BNU Interdisci-plinary Research Foundation for the First-Year Doctoral Candidates[BNUXKJC2022] ; Engineering Research Center of Intelligent Technology and Educational Application, Ministry of Education ; International Joint Research Project of Fac-ulty of Education, Beijing Normal University
WOS研究方向	Computer Science ; Engineering ; Telecommunications
语种	英语
出版者	ELSEVIER
WOS记录号	WOS:000708380800007
内容类型	期刊论文
源URL	[http://119.78.100.204/handle/2XEOYT63/17016]
专题	中国科学院计算技术研究所
通讯作者	Xiao, Yinhao
作者单位	1.Beijing Normal Univ, Sch Artificial Intelligence, Beijing, Peoples R China 2.Beijing Normal Univ, Fac Educ, Beijing, Peoples R China 3.Chinese Acad Sci, Inst Comp Technol, Beijing, Peoples R China 4.Guangdong Univ Finance & Econ, Sch Informat Sci, Guangzhou, Guangdong, Peoples R China
推荐引用方式 GB/T 7714	Wang, Shengling,Pu, Yu,Shi, Hongwei,et al. A differential game view of antagonistic dynamics for cybersecurity[J]. COMPUTER NETWORKS,2021,200:11.
APA	Wang, Shengling,Pu, Yu,Shi, Hongwei,Huang, Jianhui,&Xiao, Yinhao.(2021).A differential game view of antagonistic dynamics for cybersecurity.COMPUTER NETWORKS,200,11.
MLA	Wang, Shengling,et al."A differential game view of antagonistic dynamics for cybersecurity".COMPUTER NETWORKS 200(2021):11.