• DocumentCode
    2554493
  • Title

    Formalizing and Enforcing Purpose Restrictions in Privacy Policies

  • Author

    Tschantz, M.C. ; Datta, Amitava ; Wing, Jeannette M.

  • Author_Institution
    Carnegie Mellon Univ., Pittsburgh, PA, USA
  • fYear
    2012
  • fDate
    20-23 May 2012
  • Firstpage
    176
  • Lastpage
    190
  • Abstract
    Privacy policies often place restrictions on the purposes for which a governed entity may use personal information. For example, regulations, such as the Health Insurance Portability and Accountability Act (HIPAA), require that hospital employees use medical information for only certain purposes, such as treatment, but not for others, such as gossip. Thus, using formal or automated methods for enforcing privacy policies requires a semantics of purpose restrictions to determine whether an action is for a purpose or not. We provide such a semantics using a formalism based on planning. We model planning using a modified version of Markov Decision Processes (MDPs), which exclude redundant actions for a formal definition of redundant. We argue that an action is for a purpose if and only if the action is part of a plan for optimizing the satisfaction of that purpose under the MDP model. We use this formalization to define when a sequence of actions is only for or not for a purpose. This semantics enables us to create and implement an algorithm for automating auditing, and to describe formally and compare rigorously previous enforcement methods. To validate our semantics, we conduct a survey to compare our semantics to how people commonly understand the word "purpose".
  • Keywords
    Markov processes; data privacy; formal specification; MDP model; Markov decision processes; automating auditing algorithm; personal information; privacy policies; purpose restriction enforcement; purpose restriction formalization; Hospitals; Medical diagnostic imaging; Planning; Privacy; Probabilistic logic; Semantics; Formal Methods; Privacy;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Security and Privacy (SP), 2012 IEEE Symposium on
  • Conference_Location
    San Francisco, CA
  • ISSN
    1081-6011
  • Print_ISBN
    978-1-4673-1244-8
  • Electronic_ISBN
    1081-6011
  • Type

    conf

  • DOI
    10.1109/SP.2012.21
  • Filename
    6234412