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Identify-Based Outsourcing Data Auditing Scheme with Lattice

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Frontiers in Cyber Security (FCS 2020)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1286))

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Abstract

To reduce the burden and overhead of local storage, more and more organizations and individuals chosen to outsourcing data to cloud servers. Cloud users can access cloud data through any network. At the same time, as users lose actual control over the data, the data security in the cloud server is exposed to great risks. Therefore, how to ensure the integrity and security of cloud data has become an open issue. Around this problem, researchers have put forward many plans. However, these schemes are based on traditional cryptography, they cannot resist quantum attacks and have high computational complexity. It cannot meet the needs of interconnection of everything in the future. To solve this problem, we propose an identity-based outsourcing data integrity auditing scheme with lattice, which has forward security. Our proposed scheme is based on lattice cryptosystem, which not only has higher security and computational efficiency, but also has forward security. In the proposed scheme, the data owner can designate a proxy to outsource the data, thus reducing the local computing burden. In addition, we analyze the security of the scheme through the assumption of ISIS problem, which shows the theoretical security of the scheme. Theoretical analysis and comparison indicate that our proposed scheme is more secure and practical.

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Acknowledgement

This work was supported by the National Cryptography Development Fund of China (No. MMJJ20170112), Natural Science Basic Research Plan in Shaanxi Province of China (No. 2018JM6028), National Natural Science Foundation of China (No. 61772550, U1636114 and 61572521), the Foundation of Guizhou Provincial Key Laboratory of Public Big Data (No. 2019BDKFJJ008), and National Key Research and Development Program of China (No. 2017YFB0802000). This work is also supported by Engineering University of PAP’s Funding for Scientific Research Innovation Team (No. KYTD201805).

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Authors and Affiliations

  1. Guizhou Provincial Key Laboratory of Public Big Data, GuiZhou University, Guiyang, 550025, Guizhou, China

    Han Wang, Xu An Wang & Chuan Lin

  2. Key Laboratory of Network and Information Security under PAP, Engineering, University of PAP, Xi’an, 710086, China

    Han Wang, Xu An Wang & Jiasen Liu

Authors
  1. Han Wang
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  2. Xu An Wang
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  3. Jiasen Liu
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  4. Chuan Lin
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Editor information

Editors and Affiliations

  1. Tianjin University, Tianjin, China

    Guangquan Xu

  2. Delft University of Technology, Delft, The Netherlands

    Kaitai Liang

  3. University of Aizu, Aizuwakamatsu, Japan

    Chunhua Su

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Wang, H., Wang, X.A., Liu, J., Lin, C. (2020). Identify-Based Outsourcing Data Auditing Scheme with Lattice. In: Xu, G., Liang, K., Su, C. (eds) Frontiers in Cyber Security. FCS 2020. Communications in Computer and Information Science, vol 1286. Springer, Singapore. https://doi.org/10.1007/978-981-15-9739-8_27

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  • DOI: https://doi.org/10.1007/978-981-15-9739-8_27

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-15-9738-1

  • Online ISBN: 978-981-15-9739-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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