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dc.contributor.authorLi, Song
dc.contributor.authorCui, Jie
dc.contributor.authorZhong, Hong
dc.contributor.authorLiu, Lu
dc.date.accessioned2018-01-22T15:30:42Z
dc.date.available2018-01-22T15:30:42Z
dc.date.issued2017-05-05
dc.identifier.citationLi, S. et al (2017) 'Public Auditing with Privacy Protection in a Multi-User Model of Cloud-Assisted Body Sensor Networks', Sensors, 17 (5):1032.en
dc.identifier.issn14248220
dc.identifier.doi10.3390/s17051032
dc.identifier.urihttp://hdl.handle.net/10545/622069
dc.description.abstractWireless Body Sensor Networks (WBSNs) are gaining importance in the era of the Internet of Things (IoT). The modern medical system is a particular area where the WBSN techniques are being increasingly adopted for various fundamental operations. Despite such increasing deployments of WBSNs, issues such as the infancy in the size, capabilities and limited data processing capacities of the sensor devices restrain their adoption in resource-demanding applications. Though providing computing and storage supplements from cloud servers can potentially enrich the capabilities of the WBSNs devices, data security is one of the prevailing issues that affects the reliability of cloud-assisted services. Sensitive applications such as modern medical systems demand assurance of the privacy of the users' medical records stored in distant cloud servers. Since it is economically impossible to set up private cloud servers for every client, auditing data security managed in the remote servers has necessarily become an integral requirement of WBSNs' applications relying on public cloud servers. To this end, this paper proposes a novel certificateless public auditing scheme with integrated privacy protection. The multi-user model in our scheme supports groups of users to store and share data, thus exhibiting the potential for WBSNs' deployments within community environments. Furthermore, our scheme enriches user experiences by offering public verifiability, forward security mechanisms and revocation of illegal group members. Experimental evaluations demonstrate the security effectiveness of our proposed scheme under the Random Oracle Model (ROM) by outperforming existing cloud-assisted WBSN models.
dc.description.sponsorshipN/Aen
dc.language.isoenen
dc.publisherMultidisciplinary Digital Publishing Institute (MDPI)en
dc.relation.urlhttp://www.mdpi.com/1424-8220/17/5/1032en
dc.rightsArchived with thanks to Sensorsen
dc.subjectCloud computingen
dc.subjectPrivacy preservingen
dc.subjectPublic auditingen
dc.subjectWireless networksen
dc.titlePublic auditing with privacy protection in a multi-user model of cloud-assisted body sensor networks.en
dc.typeArticleen
dc.contributor.departmentAnhui Universityen
dc.contributor.departmentUniversity of Derbyen
dc.identifier.journalSensorsen
refterms.dateFOA2019-02-28T16:30:24Z
html.description.abstractWireless Body Sensor Networks (WBSNs) are gaining importance in the era of the Internet of Things (IoT). The modern medical system is a particular area where the WBSN techniques are being increasingly adopted for various fundamental operations. Despite such increasing deployments of WBSNs, issues such as the infancy in the size, capabilities and limited data processing capacities of the sensor devices restrain their adoption in resource-demanding applications. Though providing computing and storage supplements from cloud servers can potentially enrich the capabilities of the WBSNs devices, data security is one of the prevailing issues that affects the reliability of cloud-assisted services. Sensitive applications such as modern medical systems demand assurance of the privacy of the users' medical records stored in distant cloud servers. Since it is economically impossible to set up private cloud servers for every client, auditing data security managed in the remote servers has necessarily become an integral requirement of WBSNs' applications relying on public cloud servers. To this end, this paper proposes a novel certificateless public auditing scheme with integrated privacy protection. The multi-user model in our scheme supports groups of users to store and share data, thus exhibiting the potential for WBSNs' deployments within community environments. Furthermore, our scheme enriches user experiences by offering public verifiability, forward security mechanisms and revocation of illegal group members. Experimental evaluations demonstrate the security effectiveness of our proposed scheme under the Random Oracle Model (ROM) by outperforming existing cloud-assisted WBSN models.


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