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Security and Communication Networks
Volume 2017 (2017), Article ID 4364376, 16 pages
Research Article

LEPA: A Lightweight and Efficient Public Auditing Scheme for Cloud-Assisted Wireless Body Sensor Networks

1School of Computer Science and Technology, Anhui University, Hefei, Anhui, China
2School of Software and Electrical Engineering, Swinburne University of Technology, Melbourne, VIC, Australia

Correspondence should be addressed to Jie Cui; nc.ude.ctsu.liam@eijiuc

Received 26 March 2017; Accepted 23 May 2017; Published 19 July 2017

Academic Editor: Chang Liu

Copyright © 2017 Song Li et al. 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.


From smart watch to remote healthcare system, wireless body sensor networks (WBSNs) play an important role in modern healthcare system. However, the weak capacity of devices has limited WBSNs development. Considering the huge processing and storage capacity of the cloud, it can be merged with WBSNs to make up for the deficiencies of weak capacity. Based on this consideration, the concept of cloud-assisted WBSNs has been proposed recently. In contrast to generic data, the data in cloud-assisted WBSNs will be used for providing medical diagnosis, so the integrity of data is very important because any modification will result in severe consequences such as misdiagnosis. The public auditing scheme could provide an efficient solution to check the data integrity remotely without downloading them. However, the traditional public auditing scheme for cloud cannot be used directly due to the high data density and weak processing capacity in WBSNs. So, in this paper, we proposed a lightweight and efficient public auditing scheme, LEPA, for cloud-assisted WBSNs. Compared with similar schemes, the WBSNs’ client only needs to do one symmetrical encryption with low computational cost in LEPA. Security proof shows that LEPA can resist two types of adversaries in random oracle model. The efficiency evaluation also shows that LEPA outperforms previous proposals.