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Edit Distance Based Encryption and Its Application

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Information Security and Privacy (ACISP 2016)

Part of the book series: Lecture Notes in Computer Science ((LNSC,volume 9723))

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Abstract

Edit distance, also known as Levenshtein distance, is a very useful tool to measure the similarity between two strings. It has been widely used in many applications such as natural language processing and bioinformatics. In this paper, we introduce a new type of fuzzy public key encryption called Edit Distance-based Encryption (EDE). In EDE, the encryptor can specify an alphabet string and a threshold when encrypting a message, and a decryptor can obtain a decryption key generated from another alphabet string, and the decryption will be successful if and only if the edit distance between the two strings is within the pre-defined threshold. We provide a formal definition and security model for EDE, and propose an EDE scheme that can securely evaluate the edit distance between two strings embedded in the ciphertext and the secret key. We also show an interesting application of our EDE scheme named Fuzzy Broadcast Encryption which is very useful in a broadcasting network.

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Acknowledgement

Kaitai Liang is supported by privacy-aware retrieval and modelling of genomic data (PRIGENDA, No. 13283250), the Academy of Finland.

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Authors and Affiliations

  1. Centre for Computer and Information Security Research, School of Computing and Information Technology, University of Wollongong, Wollongong, Australia

    Tran Viet Xuan Phuong, Guomin Yang & Willy Susilo

  2. Department of Computer Science, Aalto University, Espoo, Finland

    Kaitai Liang

Authors
  1. Tran Viet Xuan Phuong
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  2. Guomin Yang
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  3. Willy Susilo
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  4. Kaitai Liang
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Corresponding author

Correspondence to Tran Viet Xuan Phuong .

Editor information

Editors and Affiliations

  1. Monash University , Melbourne, Victoria, Australia

    Joseph K. Liu

  2. Monash University , Melbourne, Victoria, Australia

    Ron Steinfeld

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Phuong, T.V.X., Yang, G., Susilo, W., Liang, K. (2016). Edit Distance Based Encryption and Its Application. In: Liu, J., Steinfeld, R. (eds) Information Security and Privacy. ACISP 2016. Lecture Notes in Computer Science(), vol 9723. Springer, Cham. https://doi.org/10.1007/978-3-319-40367-0_7

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  • DOI: https://doi.org/10.1007/978-3-319-40367-0_7

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-40366-3

  • Online ISBN: 978-3-319-40367-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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