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Towards Attribute Revocation in Key-Policy Attribute Based Encryption

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Cryptology and Network Security (CANS 2011)

Part of the book series: Lecture Notes in Computer Science ((LNSC,volume 7092))

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Abstract

Attribute revocation is important to the attribute-based encryption (ABE). The existing ABE schemes supporting revocation mainly focus on the revocation of the user’s identity, which could only revoke the user’s whole attributes by revoking the user’s identity. In some cases, we wish to revoke one attribute of a user instead of the whole attributes issued to him without affecting any other user’s private key, such that the user still can use his private key to decrypt as long as the unrevoked attributes of him satisfy the decryption condition. In this paper, we propose two KP-ABE schemes realizing the attribute revocation under the direct revocation model.

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Author information

Authors and Affiliations

  1. State Key Laboratory of Information Security, Institute of Software, The Chinese Academy of Sciences, Beijing, China

    Pengpian Wang, Dengguo Feng & Liwu Zhang

  2. National Engineering Research Center of Information Security, Beijing, China

    Pengpian Wang, Dengguo Feng & Liwu Zhang

Authors
  1. Pengpian Wang
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  2. Dengguo Feng
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  3. Liwu Zhang
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Editor information

Editors and Affiliations

  1. The State Key Laboratory of Information Security, Institute of Software, Chinese Academy of Sciences, 100190, Beijing, China

    Dongdai Lin

  2. Computer Science Department, University of California, 92697-3435, Irvine, CA, USA

    Gene Tsudik

  3. Shandong University, China

    Xiaoyun Wang

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Wang, P., Feng, D., Zhang, L. (2011). Towards Attribute Revocation in Key-Policy Attribute Based Encryption. In: Lin, D., Tsudik, G., Wang, X. (eds) Cryptology and Network Security. CANS 2011. Lecture Notes in Computer Science, vol 7092. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-25513-7_19

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  • DOI: https://doi.org/10.1007/978-3-642-25513-7_19

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-25512-0

  • Online ISBN: 978-3-642-25513-7

  • eBook Packages: Computer ScienceComputer Science (R0)

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