Abstract
We propose a privacy-preserving location-based service (LBS) which supports top-k search service. The previous schemes hurt the privacy of either the user and the location of the objects because they are sent to the LBS server in a plaintext form. In the proposed method, by encrypting them with the fully-homomorphic encryption, we achieved the top-k search is possible while the information on them is not given to the LBS server. We performed a simulation on the proposed scheme with 16 locations where k is 3. The required time is 270 hours in a conventional desktop machine, which seems infeasible to be used in practice. However, as the progress of the hardware, the performance will be improved.
| Translated title of the contribution | Privacy Preserving Top-k Location-Based Service with Fully Homomorphic Encryption |
|---|---|
| Original language | Korean |
| Pages (from-to) | 153-161 |
| Number of pages | 9 |
| Journal | 한국시뮬레이션학회 논문지 |
| Volume | 24 |
| Issue number | 4 |
| DOIs | |
| State | Published - 2015 |