Mobile and Ubiquitous Systems: Computing, Networking, and Services. 8th International ICST Conference, MobiQuitous 2011, Copenhagen, Denmark, December 6-9, 2011, Revised Selected Papers

Research Article

Towards a New Classification of Location Privacy Methods in Pervasive Computing

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  • @INPROCEEDINGS{10.1007/978-3-642-30973-1_13,
        author={Mads Andersen and Mikkel Kj\c{c}rgaard},
        title={Towards a New Classification of Location Privacy Methods in Pervasive Computing},
        proceedings={Mobile and Ubiquitous Systems: Computing, Networking, and Services. 8th International ICST Conference, MobiQuitous 2011, Copenhagen, Denmark, December 6-9, 2011, Revised Selected Papers},
        proceedings_a={MOBIQUITOUS},
        year={2012},
        month={10},
        keywords={Location Privacy Pervasive Computing Ubiquitous Computing},
        doi={10.1007/978-3-642-30973-1_13}
    }
    
  • Mads Andersen
    Mikkel Kjærgaard
    Year: 2012
    Towards a New Classification of Location Privacy Methods in Pervasive Computing
    MOBIQUITOUS
    Springer
    DOI: 10.1007/978-3-642-30973-1_13
Mads Andersen1,*, Mikkel Kjærgaard1,*
  • 1: Aarhus University
*Contact email: masa@cs.au.dk, mikkelbk@cs.au.dk

Abstract

Over the last decade many methods for location privacy have been proposed, but the mapping between classes of location based services and location privacy methods is not obvious. This entails confusion for developers, lack of usage of privacy methods, and an unclear road-map ahead for research within location privacy. This paper presents a two-dimensional classification of existing methods for location privacy grouping them by the type of location based service to which they apply and location privacy method category. The types of location based services identified are , and , and the high level location privacy method categories are , and . It is found that little work exists on location privacy in the areas of Social Networking and Collaborative Sensing, and that insufficient work has been done in Route Tracing. It is concluded that none of the existing methods cover all applications of Route Tracing. It is, therefore, suggested that a new overall method should be proposed to solve the problem of location privacy in Route Tracing. Furthermore, future challenges are identified.