Title: Cost-effective provable secure cloud storage self-auditing scheme for big data in WMSNS

Authors: Xiaojun Zhang; Jie Zhao; Liming Mu; Xinpeng Zhang

Addresses: School of Computer Science, Research Center for Cyber Security, Southwest Petroleum University, Chengdu 610500, China; School of Computer Science and Engineering, University of Electronic Science and Technology of China, Chengdu 611731, China ' School of Computer Science, Research Center for Cyber Security, Southwest Petroleum University, Chengdu 610500, China ' School of Computer Science, Research Center for Cyber Security, Southwest Petroleum University, Chengdu 610500, China ' School of Computer Science and Engineering, University of Electronic Science and Technology of China, Chengdu 611731, China

Abstract: Medical big data have recently received considerable attention in the modern medical systems, since they give great opportunities to mine new medical knowledge. In the wireless medical sensor networks (WMSNs), medical big data can be generated and processed everywhere at any time. With the rapid development of cloud computing, cloud-based WMSNs can provide more efficient processing of patients' physiology parameters and support richer storage services. Meanwhile, the integrity of medical big data becomes significant, since medical big data will be employed to provide the medical diagnosis and other medical treatments. In this paper, we propose a cost-effective self-auditing scheme for cloud storage medical big data without pairings. In the proposed scheme, a patient can personally check the medical big data integrity effectively, without retrieving the entire medical big data, and thus dramatically reduces the communication overhead. Moreover, we extend the proposed scheme to a batch self-auditing scheme, such that a patient can efficiently perform self-auditing for multiple different medical big data files simultaneously. The performance comparison shows that the proposed scheme is much more light-weight, and more practical in WMSNs.

Keywords: medical big data; wireless medical sensor networks; WMSNs; cloud computing; self-auditing.

DOI: 10.1504/IJESDF.2019.10021738

International Journal of Electronic Security and Digital Forensics, 2019 Vol.11 No.4, pp.477 - 490

Received: 14 Apr 2018
Accepted: 03 Sep 2018

Published online: 30 Sep 2019 *

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