Hits:

Indexed by:期刊论文

Date of Publication:2016-04-01

Journal:JOURNAL OF MEDICAL SYSTEMS

Included Journals:SCIE、PubMed、Scopus

Volume:40

Issue:4

Page Number:97

ISSN No.:0148-5598

Key Words:Body area networks; Big data; Differential privacy; Dynamic noise thresholds

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.