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A keyword searchable attribute-based encryption scheme with attribute update for cloud storage

Author

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  • Shangping Wang
  • Jian Ye
  • Yaling Zhang

Abstract

Ciphertext-policy attribute-based encryption (CP-ABE) scheme is a new type of data encryption primitive, which is very suitable for data cloud storage for its fine-grained access control. Keyword-based searchable encryption scheme enables users to quickly find interesting data stored in the cloud server without revealing any information of the searched keywords. In this work, we provide a keyword searchable attribute-based encryption scheme with attribute update for cloud storage, which is a combination of attribute-based encryption scheme and keyword searchable encryption scheme. The new scheme supports the user's attribute update, especially in our new scheme when a user's attribute need to be updated, only the user's secret key related with the attribute need to be updated, while other user's secret key and the ciphertexts related with this attribute need not to be updated with the help of the cloud server. In addition, we outsource the operation with high computation cost to cloud server to reduce the user's computational burden. Moreover, our scheme is proven to be semantic security against chosen ciphertext-policy and chosen plaintext attack in the general bilinear group model. And our scheme is also proven to be semantic security against chosen keyword attack under bilinear Diffie-Hellman (BDH) assumption.

Suggested Citation

  • Shangping Wang & Jian Ye & Yaling Zhang, 2018. "A keyword searchable attribute-based encryption scheme with attribute update for cloud storage," PLOS ONE, Public Library of Science, vol. 13(5), pages 1-19, May.
    • Handle: RePEc:plo:pone00:0197318
    DOI: 10.1371/journal.pone.0197318
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    Cited by:

    1. Jing Wen & Haifeng Li & Liangliang Liu & Caihui Lan, 2024. "Enhancing Security and Efficiency: A Fine-Grained Searchable Scheme for Encryption of Big Data in Cloud-Based Smart Grids," Mathematics, MDPI, vol. 12(10), pages 1-18, May.

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