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Empirical Analysis of Database Privacy Using Twofold Integrals

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Computational Intelligence and Security (CIS 2005)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 3801))

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Abstract

Record linkage is a technique for linking records of different files that correspond to the same individual. Traditional record linkage methods needs that the files have some common variables to permit such link. In this paper we study the possibility of applying record linkage techniques when the files do not share variables. In this case we establish links based on structural information. For extracting this structural information we use in this paper twofold integrals.

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Author information

Authors and Affiliations

  1.  , IIIA-CSIC Campus UAB s/n, 08193, Bellaterra, Catalonia, Spain

    Jordi Nin & Vicenç Torra

Authors
  1. Jordi Nin
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  2. Vicenç Torra
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Editor information

Editors and Affiliations

  1. Microelectronic Instiute, Xidian University, 710071, Xi’an, China

    Yue Hao

  2. Department of Computer Science, Hong Kong Baptist University, Kowloon Tong, Hong Kong

    Jiming Liu

  3. School of Computer Science and Technology, Xidian University, Xi’an, China

    Yuping Wang

  4. Department of Computer Science, Hong Kong Baptist University, Hong Kong,  

    Yiu-ming Cheung

  5. School of Electrical and Electronic Engineering, University of Manchester, UK

    Hujun Yin

  6. Life Science Research Center, School of Electronic Engineering, Xidian University, 710071, Xi’an, Shaanxi, China

    Licheng Jiao

  7. Key Laboratory of Computer Networks and Information Security (Ministry of Education), Xidian University, 710071, Xi’an, China

    Jianfeng Ma

  8. National Laboratory of Antennas and Microwave Technology, Xidian University, 710071, Xi’an, Shanxi, P.R. China

    Yong-Chang Jiao

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© 2005 Springer-Verlag Berlin Heidelberg

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Nin, J., Torra, V. (2005). Empirical Analysis of Database Privacy Using Twofold Integrals. In: Hao, Y., et al. Computational Intelligence and Security. CIS 2005. Lecture Notes in Computer Science(), vol 3801. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11596448_1

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  • DOI: https://doi.org/10.1007/11596448_1

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-30818-8

  • Online ISBN: 978-3-540-31599-5

  • eBook Packages: Computer ScienceComputer Science (R0)

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