Mobile and Ubiquitous Systems: Computing, Networking, and Services. 9th International Conference, MobiQuitous 2012, Beijing, China, December 12-14, 2012. Revised Selected Papers

Research Article

Differential Private Trajectory Obfuscation

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  • @INPROCEEDINGS{10.1007/978-3-642-40238-8_12,
        author={Roland Assam and Marwan Hassani and Thomas Seidl},
        title={Differential Private Trajectory Obfuscation},
        proceedings={Mobile and Ubiquitous Systems: Computing, Networking, and Services. 9th International Conference, MobiQuitous 2012, Beijing, China, December 12-14, 2012. Revised Selected Papers},
        proceedings_a={MOBIQUITOUS},
        year={2013},
        month={9},
        keywords={Spatial Database LBS Differential Privacy},
        doi={10.1007/978-3-642-40238-8_12}
    }
    
  • Roland Assam
    Marwan Hassani
    Thomas Seidl
    Year: 2013
    Differential Private Trajectory Obfuscation
    MOBIQUITOUS
    Springer
    DOI: 10.1007/978-3-642-40238-8_12
Roland Assam1,*, Marwan Hassani1,*, Thomas Seidl1,*
  • 1: RWTH Aachen University
*Contact email: assam@cs.rwth-aachen.de, hassani@cs.rwth-aachen.de, seidl@cs.rwth-aachen.de

Abstract

We propose a novel technique to ensure location privacy for mobility data using differential privacy. Privacy is guaranteed through path perturbation by injecting noise to both the space and time domain of a spatio-temporal data. In addition, we present to the best of our knowledge, the first context aware differential private algorithm. We conducted numerous experiments on real and synthetic datasets, and show that our approach produces superior privacy results when compared to state-of-the-art techniques.