• DocumentCode
    686379
  • Title

    Information security events aggregation with multi party privacy preserving

  • Author

    Jizhi Wang ; Guang Yang

  • Author_Institution
    Shandong Comput. Sci. Center, Nat. Supercomput. Center in Jinan, Jinan, China
  • fYear
    2013
  • fDate
    22-24 Nov. 2013
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    Over the past several years a lot of research has focused on privacy preserving of data. In this work we are interested in the following privacy-preserving problem in the domain of information security. A set of parties hold private lists of information security events and want to find and disclose the top-k security events without revealing any other information. We use secure homomorphic encryption techniques to solve this problem and design protocols, analyzing their efficiency.
  • Keywords
    cryptography; data privacy; data privacy preserving; information security domain; information security events; information security events aggregation; multiparty privacy preserving; secure homomorphic encryption techniques; top-k security events; Homomorphic Cryptograph; Privacy Preserving; Secure Protocol;
  • fLanguage
    English
  • Publisher
    iet
  • Conference_Titel
    Information and Network Security (ICINS 2013), 2013 International Conference on
  • Conference_Location
    Beijing
  • Electronic_ISBN
    978-1-84919-729-8
  • Type

    conf

  • DOI
    10.1049/cp.2013.2446
  • Filename
    6825995