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    Public auditing with privacy protection in a multi-user model of cloud-assisted body sensor networks.

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    Authors
    Li, Song
    Cui, Jie
    Zhong, Hong
    Liu, Lu
    Affiliation
    Anhui University
    University of Derby
    Issue Date
    2017-05-05
    
    Metadata
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    Abstract
    Wireless 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.
    Citation
    Li, S. et al (2017) 'Public Auditing with Privacy Protection in a Multi-User Model of Cloud-Assisted Body Sensor Networks', Sensors, 17 (5):1032.
    Publisher
    Multidisciplinary Digital Publishing Institute (MDPI)
    Journal
    Sensors
    URI
    http://hdl.handle.net/10545/622069
    DOI
    10.3390/s17051032
    Additional Links
    http://www.mdpi.com/1424-8220/17/5/1032
    Type
    Article
    Language
    en
    ISSN
    14248220
    ae974a485f413a2113503eed53cd6c53
    10.3390/s17051032
    Scopus Count
    Collections
    Department of Electronics, Computing & Maths

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