A Lightweight Encryption Scheme Combined with Trust Management for Privacy-Preserving in Body Sensor Networks.
With the pervasiveness of smart phones and the advance of wireless body sensor network (BSN), mobile Healthcare (m-Healthcare), which extends the operation of Healthcare provider into a pervasive environment for better health monitoring, has attracted considerable interest recently. However, the flo...
| Publicado en: | Journal of Medical Systems Vol. 39; no. 12; pp. 1 - 9 |
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| Autores principales: | , , , , |
| Formato: | equations & formulas research tables/charts Journal Article |
| Publicado: |
Springer Nature
Dec2015
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=110463856&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 110463856 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 01485598 4N0 jtl: Journal of Medical Systems issn: 01485598 maglogo: N pubinfo: dt: Dec2015 vid: 39 iid: 12 pid: 237 pub: Springer Nature place: New York, New York artinfo: ui: 110463856 110463856 110463856 10.1007/s10916-015-0341-0 NLM26490148 110463856 ppf: 1 ppct: 8 formats: fmt: @attributes: type: P tig: atl: A Lightweight Encryption Scheme Combined with Trust Management for Privacy-Preserving in Body Sensor Networks. aug: au: Guo, Ping Wang, Jin Ji, Sai Geng, Xue Xiong, Neal affil: College of Computer & Software, Jiangsu Engineering Center of Network Monitoring, Nanjing University of Information Science & Technology, Nanjing China sug: subj: Software Design Wearable Sensors Privacy and Confidentiality Monitoring, Physiologic Trust Encryption Smartphone Telehealth Information Management Simulations Computer Communication Networks Data Security Descriptive Statistics Funding Source ab: With the pervasiveness of smart phones and the advance of wireless body sensor network (BSN), mobile Healthcare (m-Healthcare), which extends the operation of Healthcare provider into a pervasive environment for better health monitoring, has attracted considerable interest recently. However, the flourish of m-Healthcare still faces many challenges including information security and privacy preservation. In this paper, we propose a secure and privacy-preserving framework combining with multilevel trust management. In our scheme, smart phone resources including computing power and energy can be opportunistically gathered to process the computing-intensive PHI (personal health information) during m-Healthcare emergency with minimal privacy disclosure. In specific, to leverage the PHI privacy disclosure and the high reliability of PHI process and transmission in m-Healthcare emergency, we introduce an efficient lightweight encryption for those users whose trust level is low, which is based on mix cipher algorithms and pair of plain text and cipher texts, and allow a medical user to decide who can participate in the opportunistic computing to assist in processing his overwhelming PHI data. Detailed security analysis and simulations show that the proposed framework can efficiently achieve user-centric privacy protection in m-Healthcare system. pubtype: Academic Journal doctype: equations & formulas research tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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