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ID-Based Adaptive Oblivious Transfer

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Information Security Applications (WISA 2009)

Part of the book series: Lecture Notes in Computer Science ((LNSC,volume 5932))

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Abstract

The adaptive oblivious transfer is a variant of oblivious transfer. To the best of our knowledge, the existing adaptive oblivious transfer schemes are all constructed in the setting of public key infrastructure. In this paper, we first introduce the notion of ID-based adaptive oblivious transfer. We also show that a generic construction of ID-based adaptive oblivious transfer can be obtained if there exists an ID-based unique blind signature. Another main contribution in this paper is that we propose a provable secure round-optimal ID-based unique blind signature scheme and the resulting ID-based adaptive oblivious transfer scheme.

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Author information

Authors and Affiliations

  1. School of Information Science and Technology,Guangdong Key Laboratory of Information Security Technology, Sun Yat-Sen University, Guangzhou, 510275, P.R. China

    Fangguo Zhang & Xingwen Zhao

  2. Key Laboratory of Computer Networks and Information Security, Ministry of Education, Xidian University, Xi’an, 710071, P.R. China

    Xiaofeng Chen

Authors
  1. Fangguo Zhang
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  2. Xingwen Zhao
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  3. Xiaofeng Chen
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Editor information

Editors and Affiliations

  1. Department of Information Security Engineering, Soonchunhyang University, 646, Eupnae-ri, Shinchang-myun, Asan-si, Chungnam-do, 336-745, Korea

    Heung Youl Youm

  2. Computer Science Department, Google Inc. and Columbia University, Room 464, S.W. Mudd Building, NY 10027, New York, USA

    Moti Yung

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Zhang, F., Zhao, X., Chen, X. (2009). ID-Based Adaptive Oblivious Transfer. In: Youm, H.Y., Yung, M. (eds) Information Security Applications. WISA 2009. Lecture Notes in Computer Science, vol 5932. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-10838-9_11

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  • DOI: https://doi.org/10.1007/978-3-642-10838-9_11

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-10837-2

  • Online ISBN: 978-3-642-10838-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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