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Achieving Short Ciphertexts or Short Secret-Keys for Adaptively Secure General Inner-Product 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

In this paper, we present two non-zero inner-product encryption (NIPE) schemes that are adaptively secure under a standard assumption, the decisional linear (DLIN) assumption, in the standard model. One of the proposed NIPE schemes features constant-size ciphertexts and the other features constant-size secret-keys. Our NIPE schemes imply an identity-based revocation (IBR) system with constant-size ciphertexts or constant-size secret-keys that is adaptively secure under the DLIN assumption. Any previous IBR scheme with constant-size ciphertexts or constant-size secret-keys was not adaptively secure in the standard model. This paper also presents two zero inner-product encryption (ZIPE) schemes each of which has constant-size ciphertexts or constant-size secret-keys and is adaptively secure under the DLIN assumption in the standard model. They imply an identity-based broadcast encryption (IBBE) system with constant-size ciphertexts or constant-size secret-keys that is adaptively secure under the DLIN assumption.

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Author information

Authors and Affiliations

  1. NTT, Japan

    Tatsuaki Okamoto

  2. Mitsubishi Electric, Japan

    Katsuyuki Takashima

Authors
  1. Tatsuaki Okamoto
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  2. Katsuyuki Takashima
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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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Okamoto, T., Takashima, K. (2011). Achieving Short Ciphertexts or Short Secret-Keys for Adaptively Secure General Inner-Product 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_11

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  • DOI: https://doi.org/10.1007/978-3-642-25513-7_11

  • 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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