Location Privacy in Smart Cities

Location Privacy in Smart Cities

The widespread use of location sensors (such as GPS, location inferred from WiFi signals etc.) is fundamental for the notion of Smart Cities. For instance, autonomous vehicles rely on location information to function, and citizens take advantage of location information to navigate the city and consume location-based services, such as restaurants, charging stations and integration with public transport among others. Although the utility of using geographical information is clear, there are several challenges to protect users from attacks to their privacy. In recent years, several such attacks have been published, for instance the “Girls around me” application for mobile devices would triangulate the position of females recently logged into FourSquare , and the Facebook Messenger location information, which has been attacked by means of a “Stalker” browser extension. In this project we propose to develop novel rigorous algorithms that provide privacy to users of such systems, while at the same time give utility guarantees to other parties in order to provide location services in a privacy preserving manner.

Status: Started 2017/07/15
Role: PI, together with Shibo He from ZJU
Duration: 1 Year

Publications

2018

  • X. Wang, X. Hou, R. Rios, P. Hallgren, N. O. Tippenhauer, and M. Ochoa, “Location proximity attacks against mobile targets: analytical bounds and attacker strategies,” in Proceedings of the european symposium on research in computer security (esorics), 2018.
    [Bibtex]
    @inproceedings{wang18location,
    author={Wang, Xueou and Hou, Xiaolu and Rios, Ruben and Hallgren, Per and Tippenhauer, Nils Ole and Ochoa, Mart{\'in}},
    title={Location Proximity Attacks against Mobile Targets: Analytical Bounds and Attacker Strategies},
    booktitle={Proceedings of the European Symposium on Research in Computer Security (ESORICS)},
    month={September},
    year={2018}}