Fuzzy-Based Privacy-Preserving Scheme of Low Consumption and High Effectiveness for IoTs: A Repeated Game Model

doi:10.3390/s22155674

CORC > 兰州理工大学 > 兰州理工大学

	Fuzzy-Based Privacy-Preserving Scheme of Low Consumption and High Effectiveness for IoTs: A Repeated Game Model
	Cao, Laicheng; Zhu, Min
刊名	Sensors
	2022-08-01
卷号	22 期号:15
关键词	Energy efficiency Pollution Privacy-preserving techniques Camouflage attack Effective trust cluster formulation scheme Fuzzy trusts Game models Low consumption Low-high Optimal cluster Pollution attack Privacy preserving Repeated games
ISSN号	1424-8220
DOI	10.3390/s22155674
英文摘要	In the Internet of things (IoTs), data transmission via network coding is highly vulnerable to intra-generation and inter-generation pollution attacks. To mitigate such attacks, some resource-intensive privacy-preserving schemes have been adopted in the previous literature. In order to balance resource consumption and data-privacy-preserving issues, a novel fuzzy-based privacy-preserving scheme is proposed. Our scheme is constructed on a T-S fuzzy trust theory, and network coding data streams are routed in optimal clusters formulated by a designed repeated game model to defend against pollution attacks. In particular, the security of our scheme relies on the hardness of the discrete logarithm. Then, we prove that the designed repeated game model has a subgame-perfect Nash equilibrium, and the model can improve resource utilization efficiency under the condition of data security. Simulation results show that the running time of the proposed privacy-preserving scheme is less than 1 s and the remaining energy is higher than 4 J when the length of packets is greater than 400 and the number of iterations is 100. Therefore, our scheme has higher time and energy efficiency than those of previous studies. In addition, the effective trust cluster formulation scheme (ETCFS) can formulate an optimal cluster more quickly under a kind of camouflage attack. © 2022 by the authors.
WOS研究方向	Chemistry ; Engineering ; Instruments & Instrumentation
语种	英语
出版者	MDPI
WOS记录号	WOS:000839722300001
内容类型	期刊论文
源URL	[http://ir.lut.edu.cn/handle/2XXMBERH/159713]
专题	兰州理工大学
作者单位	School of Computer and Communication, Lanzhou University of Technology, Lanzhou; 730050, China
推荐引用方式 GB/T 7714	Cao, Laicheng,Zhu, Min. Fuzzy-Based Privacy-Preserving Scheme of Low Consumption and High Effectiveness for IoTs: A Repeated Game Model[J]. Sensors,2022,22(15).
APA	Cao, Laicheng,&Zhu, Min.(2022).Fuzzy-Based Privacy-Preserving Scheme of Low Consumption and High Effectiveness for IoTs: A Repeated Game Model.Sensors,22(15).
MLA	Cao, Laicheng,et al."Fuzzy-Based Privacy-Preserving Scheme of Low Consumption and High Effectiveness for IoTs: A Repeated Game Model".Sensors 22.15(2022).