摘要
Most current privacy-preserving located-based service (LBS) techniques either require a trusted third-party anonymizer (TTP) or have proved to be quivering in the balance with the levels of privacy protection and communication overhead. In order to address these challenges, a context-aware privacy-preserving technique without TTP was presented: mobile user firstly achieved his location context based on the downloaded rough topology maps from LBS provider's server while user consumes services. Meanwhile, the usage of context-aware technique ensured adaptability to the user's personalized privacy settings, and enabled the LBS provider's server to retrieve the minimal incremental nearest-neighbor query results. Theoretical analysis and experimental results validate the technique's effectiveness on LBS accuracy, privacy protection and communication QoS (quality-of-service) compared with SpaceTwist.
- 出版日期2013