An efficient privacy-preserving compressive data gathering scheme in WSNs

doi:10.1016/j.ins.2016.12.050

	An efficient privacy-preserving compressive data gathering scheme in WSNs
	Xie, Kun 1,2; Ning, Xueping 1; Wang, Xin 2; He, Shiming 3; Ning, Zuoting 1; Liu, Xiaoxiao 4; Wen, Jigang 5; Qin, Zheng 1
	2017-06-01
发表期刊	INFORMATION SCIENCES
ISSN	0020-0255
卷号	390 页码:82-94
摘要	Because of the strict energy limitation and the common vulnerability of Wireless Sensor Networks (WSNs), providing efficient and secure data gathering in WSNs becomes an essential problem. Compressive data gathering, which is based on the recent breakthroughs in compressive sensing theory, has been proposed as a viable approach for data gathering in WSNs at low communication overhead. Nevertheless, compressive data gathering is susceptible to various attacks in the presence of the open wireless medium. In this paper, we propose a novel Efficient Privacy-Preserving Compressive Data Gathering Scheme, which exploits homomorphic encryption functions in compressive data gathering to thwart the traffic analysis/flow tracing and realize the privacy preservation. This allows the proposed scheme to possess the two important privacy-preserving features of message flow untraceability and message content confidentiality. Extensive performance evaluations and security analyses demonstrate the validity and efficiency of the proposed scheme. (C) 2017 Elsevier Inc. All rights reserved.
关键词	Homomorphic encryption function Compressive sensing Privacy-preserving WSNs
DOI	10.1016/j.ins.2016.12.050
收录类别	SCI
语种	英语
资助项目	Prospective Research Project on Future Networks (Jiangsu Future Networks Innovation Institute)[BY2013095-4-06] ; National Natural Science Foundation of China[61572184] ; National Natural Science Foundation of China[61300219] ; National Natural Science Foundation of China[61472283] ; National Natural Science Foundation of China[51575167] ; National Natural Science Foundation of China[61272546] ; National Natural Science Foundation of China[61472131] ; Science and Technology Key Projects of Hunan Province[2015TP1004] ; Science and Technology Key Projects of Hunan Province[2016JC2075] ; U.S. NSF CNS[1526843]
WOS研究方向	Computer Science
WOS类目	Computer Science, Information Systems
WOS记录号	WOS:000394563300006
出版者	ELSEVIER SCIENCE INC
引用统计	被引频次：64[WOS] [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	http://119.78.100.204/handle/2XEOYT63/7377
专题	中国科学院计算技术研究所期刊论文_英文
通讯作者	Xie, Kun
作者单位	1.Hunan Univ, Coll Comp Sci & Elect Engn, Changsha, Hunan, Peoples R China 2.SUNY Stony Brook, Dept Elect & Comp Engn, Stony Brook, NY 11794 USA 3.Changsha Univ Sci & Technol, Sch Comp & Commun Engn, Hunan Prov Key Lab Intelligent Proc Big Data Tran, Changsha, Hunan, Peoples R China 4.State Grid HuNan Elect Power Co, Res Inst, Changsha, Hunan, Peoples R China 5.Chinese Acad Sci, Inst Comp Technol, Beijing 100080, Peoples R China
推荐引用方式 GB/T 7714	Xie, Kun,Ning, Xueping,Wang, Xin,et al. An efficient privacy-preserving compressive data gathering scheme in WSNs[J]. INFORMATION SCIENCES,2017,390:82-94.
APA	Xie, Kun.,Ning, Xueping.,Wang, Xin.,He, Shiming.,Ning, Zuoting.,...&Qin, Zheng.(2017).An efficient privacy-preserving compressive data gathering scheme in WSNs.INFORMATION SCIENCES,390,82-94.
MLA	Xie, Kun,et al."An efficient privacy-preserving compressive data gathering scheme in WSNs".INFORMATION SCIENCES 390(2017):82-94.