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Sensors 2017, 17(5), 1032; doi:10.3390/s17051032

Public Auditing with Privacy Protection in a Multi-User Model of Cloud-Assisted Body Sensor Networks

1
,
1,* , 1
and
2
1
School of Computer Science and Technology, Anhui University, Hefei 230601, China
2
Department of Computing and Mathematics, University of Derby, Derby DE22 1GB, UK
*
Author to whom correspondence should be addressed.
Academic Editors: Lei Shu, Gerhard P. Hancke, Chunsheng Zhu and Mithun Mherjee
Received: 9 March 2017 / Revised: 25 April 2017 / Accepted: 27 April 2017 / Published: 5 May 2017
(This article belongs to the Special Issue Smart Industrial Wireless Sensor Networks)
View Full-Text   |   Download PDF [1987 KB, uploaded 5 May 2017]   |  

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. View Full-Text
Keywords: cloud computing; wireless body sensor networks; privacy preserving; public auditing cloud computing; wireless body sensor networks; privacy preserving; public auditing
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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Li, S.; Cui, J.; Zhong, H.; Liu, L. Public Auditing with Privacy Protection in a Multi-User Model of Cloud-Assisted Body Sensor Networks. Sensors 2017, 17, 1032.

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