title: Differential Privacy Preserving in Big Data Analytics for Connected Health.
abstract: In Body Area Networks (BANs), big data collected by wearable sensors usually contain sensitive information, which is compulsory to be appropriately protected. Previous methods neglected privacy protection issue, leading to privacy exposure. In this paper, a differential privacy protection scheme for big data in body sensor network is developed. Compared with previous methods, this scheme will provide privacy protection with higher availability and reliability. We introduce the concept of dynamic noise thresholds, which makes our scheme more suitable to process big data. Experimental results demonstrate that, even when the attacker has full background knowledge, the proposed scheme can still provide enough interference to big sensitive data so as to preserve the privacy.
authors.affiliation: School of Software, Dalian University of Technology, Dalian, China. c.lin@dlut.edu.cn.|Key Laboratory for Ubiquitous Network and Service Software of Liaoning Province, Dalian, China. c.lin@dlut.edu.cn.
authors.forename: Chi
authors.initials: C
authors.lastname: Lin
authors.affiliation: School of Software, Dalian University of Technology, Dalian, China.|Key Laboratory for Ubiquitous Network and Service Software of Liaoning Province, Dalian, China.
authors.forename: Zihao
authors.initials: Z
authors.lastname: Song
authors.affiliation: Department of Electrical and Computer Engineering, West Virginia University, Montgomery, WV, 25136, USA. h.song@ieee.org.
authors.forename: Houbing
authors.initials: H
authors.lastname: Song
authors.affiliation: School of Software, Dalian University of Technology, Dalian, China.|Key Laboratory for Ubiquitous Network and Service Software of Liaoning Province, Dalian, China.
authors.forename: Yanhong
authors.initials: Y
authors.lastname: Zhou
authors.affiliation: School of Software, Dalian University of Technology, Dalian, China.|Key Laboratory for Ubiquitous Network and Service Software of Liaoning Province, Dalian, China.
authors.forename: Yi
authors.initials: Y
authors.lastname: Wang
authors.affiliation: School of Software, Dalian University of Technology, Dalian, China.|Key Laboratory for Ubiquitous Network and Service Software of Liaoning Province, Dalian, China.
authors.forename: Guowei
authors.initials: G
authors.lastname: Wu
mesh_terms: D000465:Algorithms; D003195:Computer Communication Networks / Q000458:organization & administration*; D016494:Computer Security; D003219:Confidentiality; D015716:Electrocardiography, Ambulatory / Q000379:methods*; D006801:Humans; D007091:Image Processing, Computer-Assisted; D058998:Remote Sensing Technology / Q000379:methods*; D015203:Reproducibility of Results
keywords: Big data; Body area networks; Differential privacy; Dynamic noise thresholds