• DocumentCode
    180304
  • Title

    Secure multi-party consensus gossip algorithms

  • Author

    Lazzeretti, Riccardo ; Horn, Sean ; Braca, Paolo ; Willett, P.

  • Author_Institution
    Univ. of Siena, Siena, Italy
  • fYear
    2014
  • fDate
    4-9 May 2014
  • Firstpage
    7406
  • Lastpage
    7410
  • Abstract
    Information fusion is the keystone of many surveillance systems, in which the security of the information is a crucial aspect. This paper proposes a method to fuse information exchanging only encrypted data, through a secure extension of the popular consensus gossip algorithm using secure multi-party computation methodology. Sensor entities exchange only encrypted information and never have direct access to the data while iteratively reaching consensus. The agents do not have access to the final value and can just retrieve partial information, for instance a binary decision. An innovative implementation of the consensus algorithm in the encrypted domain is proposed and analyzed.
  • Keywords
    cryptography; iterative methods; sensor fusion; binary decision; encrypted data; encrypted information; information fusion; information security; partial information retrieval; secure multiparty computation methodology; secure multiparty consensus gossip algorithms; sensor entities; surveillance systems; Complexity theory; Encryption; Logic gates; Protocols; Signal processing algorithms; Consensus algorithms; detection; encryption; information fusion; secure multiparty computation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Acoustics, Speech and Signal Processing (ICASSP), 2014 IEEE International Conference on
  • Conference_Location
    Florence
  • Type

    conf

  • DOI
    10.1109/ICASSP.2014.6855039
  • Filename
    6855039