Entropy-Based Privacy against Profiling of User Mobility
AbstractLocation-based services (LBSs) flood mobile phones nowadays, but their use poses an evident privacy risk. The locations accompanying the LBS queries can be exploited by the LBS provider to build the user profile of visited locations, which might disclose sensitive data, such as work or home locations. The classic concept of entropy is widely used to evaluate privacy in these scenarios, where the information is represented as a sequence of independent samples of categorized data. However, since the LBS queries might be sent very frequently, location profiles can be improved by adding temporal dependencies, thus becoming mobility profiles, where location samples are not independent anymore and might disclose the user’s mobility patterns. Since the time dimension is factored in, the classic entropy concept falls short of evaluating the real privacy level, which depends also on the time component. Therefore, we propose to extend the entropy-based privacy metric to the use of the entropy rate to evaluate mobility profiles. Then, two perturbative mechanisms are considered to preserve locations and mobility profiles under gradual utility constraints. We further use the proposed privacy metric and compare it to classic ones to evaluate both synthetic and real mobility profiles when the perturbative methods proposed are applied. The results prove the usefulness of the proposed metric for mobility profiles and the need for tailoring the perturbative methods to the features of mobility profiles in order to improve privacy without completely loosing utility. View Full-Text
Scifeed alert for new publicationsNever miss any articles matching your research from any publisher
- Get alerts for new papers matching your research
- Find out the new papers from selected authors
- Updated daily for 49'000+ journals and 6000+ publishers
- Define your Scifeed now
Rodriguez-Carrion, A.; Rebollo-Monedero, D.; Forné, J.; Campo, C.; Garcia-Rubio, C.; Parra-Arnau, J.; Das, S.K. Entropy-Based Privacy against Profiling of User Mobility. Entropy 2015, 17, 3913-3946.
Rodriguez-Carrion A, Rebollo-Monedero D, Forné J, Campo C, Garcia-Rubio C, Parra-Arnau J, Das SK. Entropy-Based Privacy against Profiling of User Mobility. Entropy. 2015; 17(6):3913-3946.Chicago/Turabian Style
Rodriguez-Carrion, Alicia; Rebollo-Monedero, David; Forné, Jordi; Campo, Celeste; Garcia-Rubio, Carlos; Parra-Arnau, Javier; Das, Sajal K. 2015. "Entropy-Based Privacy against Profiling of User Mobility." Entropy 17, no. 6: 3913-3946.