Location Information Scrambler: for Protection of Smartphone Users’ Privacy
Event details
| Date | 15.06.2010 |
| Hour | 14:15 |
| Speaker | Prof. Kang Shin, University of Michigan |
| Location | |
| Category | Conferences - Seminars |
As use of location-based services (LBSs) is becoming increasingly prevalent, mobile users are more and more enticed to reveal their location, which may be exploited by attackers to infer the points of interest (POIs) the users visit, then compromise their privacy. To protect a user's location privacy, we have been developing a new approach based on unobservability, preventing the attackers from associating any particular POI to the user's location. Specifically, we designed, implemented, and evaluated a privacy-protection system, called the Location Information ScrAmbler (LISA), that adjusts the location noise level in order to remove or significantly weaken the distinguishability of POIs the user may visit. By protecting location privacy locally on each mobile user's device, LISA eliminates the reliance on trusted third-party servers required by most previous approaches, avoiding the vulnerability of a single point of failure and facilitating the deployment of LBSs. Moreover, since energy-efficiency is the most critical requirement for battery-powered mobile devices, LISA explores the trade-off between location noise/privacy and energy consumption to achieve both privacy-protection and energy-efficiency. This is joint work with two of my graduate students, Jerry Chen and Xin Hu.
Prof. Shin's homepage
Practical information
- General public
- Free