A privacy-aware cloud-assisted healthcare monitoring system via compressive sensing

Cong Wang, Bingsheng Zhang, Kui Ren, Janet M. Roveda, Chang Wen Chen, Zhen Xu

Research output: Chapter in Book/Report/Conference proceedingConference contribution

44 Scopus citations

Abstract

Wireless sensors are being increasingly used to monitor/collect information in healthcare medical systems. For resource-efficient data acquisition, one major trend today is to utilize compressive sensing, for it unifies traditional data sampling and compression. Despite the increasing popularity, how to effectively process the ever-growing healthcare data and simultaneously protect data privacy, while maintaining low overhead at sensors, remains challenging. To address the problem, we propose a privacy-aware cloud-assisted healthcare monitoring system via compressive sensing, which integrates different domain techniques with following benefits. By design, acquired sensitive data samples never leave sensors in unprotected form. Protected samples are later sent to cloud, for storage, processing, and disseminating reconstructed data to receivers. The system is privacy-assured where cloud sees neither the original samples nor underlying data. It handles well sparse and general data, and data tampered with noise. Theoretical and empirical evaluations demonstrate the system achieves privacy-assurance, efficiency, effectiveness, and resource-savings simultaneously.

Original languageEnglish (US)
Title of host publicationIEEE INFOCOM 2014 - IEEE Conference on Computer Communications
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages2130-2138
Number of pages9
ISBN (Print)9781479933600
DOIs
StatePublished - Jan 1 2014
Event33rd IEEE Conference on Computer Communications, IEEE INFOCOM 2014 - Toronto, ON, Canada
Duration: Apr 27 2014May 2 2014

Publication series

NameProceedings - IEEE INFOCOM
ISSN (Print)0743-166X

Other

Other33rd IEEE Conference on Computer Communications, IEEE INFOCOM 2014
CountryCanada
CityToronto, ON
Period4/27/145/2/14

ASJC Scopus subject areas

  • Computer Science(all)
  • Electrical and Electronic Engineering

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