• DocumentCode
    3035200
  • Title

    Collaborative Planning With Privacy

  • Author

    Kanovich, Max ; Rowe, Paul ; Scedrov, Andre

  • Author_Institution
    Univ. of London, London
  • fYear
    2007
  • fDate
    6-8 July 2007
  • Firstpage
    265
  • Lastpage
    278
  • Abstract
    Collaboration among organizations or individuals is common. While these participants are often unwilling to share all their information with each other, some information sharing is unavoidable when achieving a common goal. The need to share information and the desire to keep it private/ secret are two competing notions which affect the outcome of a collaboration. This paper proposes a formal model of collaboration which addresses privacy/secrecy concerns. We draw on the notion of a plan which originates in the AI literature. We consider transition systems in which actions have pre- and post-conditions of the same size. We show it is PSPACE-complete to decide whether a given such system protects the privacy/secrecy of its participants and whether it contains a plan leading from a given initial state to a desired goal state.
  • Keywords
    computational complexity; data privacy; formal specification; groupware; security of data; PSPACE-complete; collaborative planning; formal model; information sharing; privacy/secrecy; Aggregates; Artificial intelligence; Collaboration; Collaborative software; Collaborative work; Hospitals; Insurance; Multilevel systems; Privacy; Protection;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Security Foundations Symposium, 2007. CSF '07. 20th IEEE
  • Conference_Location
    Venice
  • ISSN
    1940-1434
  • Print_ISBN
    0-7695-2819-8
  • Type

    conf

  • DOI
    10.1109/CSF.2007.12
  • Filename
    4271654