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Efficient data integrity auditing for storage security in mobile health cloud

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Abstract

Cloud storage services can enable data owners to eliminate the need for the initial investment of expensive infrastructure setup and also minimize development and maintenance costs. Outsourcing the health data to e-health cloud storage server is very beneficial. Nonetheless, storing the health data on cloud servers also brings serious security challenges. In this paper, we propose a highly efficient data integrity auditing scheme for cloud storage for mobile health applications. The authentication tag for each data block generated by biosensor nodes is minimal in our scheme due to the use of hash operation. Moreover, in data integrity checking phase, message-locked encryption scheme is utilized to encrypt and transport the auditing information of the checked data blocks, which significantly reduces the required amount of calculation and communication resources. Compared with the conventional third party auditing schemes, the presented scheme speeds up the tag generation and tag checking process by more than one thousand times.

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Acknowledgment

This work is supported by the NSFC (NO.61232016, 61300236, 61300237 and 61402234), Jiangsu Province Natural Science Research Program (NO. BK20130809, BK2012461), the prospective research projects in the future Network (NO. BY2013095-4-04), the open fund project from Jiangsu Engineering Center of Network Monitoring (NO. KJR1302, KJR1305), the Project of six personnel in Jiangsu Province (2013-WLW-012), the industrial Strategic Technology Development Program (10041740) funded by the Ministry of Trade, Industry and Energy (MOTIE) Korea, the open fund project from Jiangsu Engineering Center of Network Monitoring (KJR1302,KJR1305) , the research fund from Jiangsu Technology and Engineering Center of Meteorological Sensor Network in NUIST under Grant (No. KDXG1301), the PAPD fund and the national training programs of innovation and entrepreneurship for undergraduates (NO. N1885014041, N1885012119). Prof. Jin Wang is the corresponding author.

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The authors declare that they have no conflict of interest.

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Authors and Affiliations

  1. Jiangsu Engineering Center of Network Monitoring, School of Computer and Software, Nanjing University of Information Science and Technology, Nanjing, China

    Yongjun Ren, Jian Shen, Yuhui Zheng & Jin Wang

  2. Department of Electronic Engineering, National Ilan University, I-Lan, Taiwan

    Han-Chieh Chao

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  1. Yongjun Ren
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  2. Jian Shen
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  3. Yuhui Zheng
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  4. Jin Wang
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  5. Han-Chieh Chao
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Correspondence to Yongjun Ren.

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Ren, Y., Shen, J., Zheng, Y. et al. Efficient data integrity auditing for storage security in mobile health cloud. Peer-to-Peer Netw. Appl. 9, 854–863 (2016). https://doi.org/10.1007/s12083-015-0346-y

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  • DOI: https://doi.org/10.1007/s12083-015-0346-y

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