4.6 Article

Enabling Efficient, Secure and Privacy-Preserving Mobile Cloud Storage

Journal

IEEE TRANSACTIONS ON DEPENDABLE AND SECURE COMPUTING
Volume 19, Issue 3, Pages 1518-1531

Publisher

IEEE COMPUTER SOC
DOI: 10.1109/TDSC.2020.3027579

Keywords

Cloud computing; Encryption; Mobile handsets; Protocols; Bandwidth; Mobile cloud storage; data security; privacy-preserving; efficient; malicious cloud server

Funding

  1. National Key Research and Development Plan of China [2018YFB1003701]
  2. National Natural Science Foundation of China [61825203, U1736203, 61732021, 61802145, 61972454, 61872153, 62072215, 61702222, 61877029]
  3. Major Program of Guangdong Basic and Applied Research Project [2019B030302008]
  4. Guangdong Provincial Special Funds for Applied Technology Research
  5. Development and Transformation of Impo-rtant Scientific and Technological Achieve [2017B010124002]
  6. Guangdong Provincial Science and Technology Project [2017B010111005]
  7. Guangxi Key Laboratory of Cryptography and Information Security [GCIS201804]
  8. Natural Science Basic Research Plan in Shaanxi Province of China [2018JM6028]
  9. Guizhou Provincial Key Laboratory of Public BigData [2019BDKFJJ008]
  10. Natural Sciences and Engineering Research Council of Canada

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An efficient, secure and privacy-preserving mobile cloud storage scheme is proposed, which protects data confidentiality and privacy, with fine-grained data structure, lightweight client-side computation and constant communication overhead, making it more suitable for MCS scenario.
Mobile cloud storage (MCS) provides clients with convenient cloud storage service. In this article, we propose an efficient, secure and privacy-preserving mobile cloud storage scheme, which protects the data confidentiality and privacy simultaneously, especially the access pattern. Specifically, we propose an oblivious selection and update (OSU) protocol as the underlying primitive of the proposed mobile cloud storage scheme. OSU is based on onion additively homomorphic encryption with constant encryption layers and enables the client to obliviously retrieve an encrypted data item from the cloud and update it with a fresh value by generating a small encrypted vector, which significantly reduces the client's computation as well as the communication overheads. Compared with previous works, our presented work has valuable properties, such as fine-grained data structure (small item size), lightweight client-side computation (a few of additively homomorphic operations) and constant communication overhead, which make it more suitable for MCS scenario. Moreover, by employing the verification chunks method, our scheme can be verifiable to resist malicious cloud. The comparison and evaluation indicate that our scheme is more efficient than existing oblivious storage solutions with the aspects of client and cloud workloads, respectively.

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