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Reference-based importance assessment model of identity information

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Abstract

The spread of individuals’ identity information brings about threats of information revealing. Although anonymity could keep individuals’ information from attackers and other unauthorized malicious, at mostly entirely anonymity does not adapt the need of authentication and authorization. To provide the fine-grained ability of privacy preservation, we propose IdRank a reference-based method for rating the importance of identity information objectively and mechanically and provide the implementation of the concrete algorithm. We analyze the result of IdRank and discuss some computing issues of the implementation of IdRank.

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Authors and Affiliations

  1. Institution of Automation Command, PLA Science and Technology University, Nanjing, China

    Zombo Fu

  2. Department of Computer Science, National University of Defense Technology, Changsha, China

    Yuan Cao

  3. The Research Institution, China Electronic Equipment & System Engineering Co., Beijing, China

    Jianxin Wang & Lin Yang

Authors
  1. Zombo Fu
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  2. Yuan Cao
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  3. Jianxin Wang
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  4. Lin Yang
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Correspondence to Zombo Fu.

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Fu, Z., Cao, Y., Wang, J. et al. Reference-based importance assessment model of identity information. Pers Ubiquit Comput 17, 875–882 (2013). https://doi.org/10.1007/s00779-012-0538-x

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  • DOI: https://doi.org/10.1007/s00779-012-0538-x

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