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Privacy-Enhancing k-Nearest Neighbors Search over Mobile Social Networks
| Content Provider | MDPI |
|---|---|
| Author | Li, Yuxi Zhou, Fucai Ge, Yue Xu, Zifeng |
| Copyright Year | 2021 |
| Description | Focusing on the diversified demands of location privacy in mobile social networks (MSNs), we propose a privacy-enhancing k-nearest neighbors search scheme over MSNs. First, we construct a dual-server architecture that incorporates location privacy and fine-grained access control. Under the above architecture, we design a lightweight location encryption algorithm to achieve a minimal cost to the user. We also propose a location re-encryption protocol and an encrypted location search protocol based on secure multi-party computation and homomorphic encryption mechanism, which achieve accurate and secure k-nearest friends retrieval. Moreover, to satisfy fine-grained access control requirements, we propose a dynamic friends management mechanism based on public-key broadcast encryption. It enables users to grant/revoke others’ search right without updating their friends’ keys, realizing constant-time authentication. Security analysis shows that the proposed scheme satisfies adaptive |
| Starting Page | 3994 |
| e-ISSN | 14248220 |
| DOI | 10.3390/s21123994 |
| Journal | Sensors |
| Issue Number | 12 |
| Volume Number | 21 |
| Language | English |
| Publisher | MDPI |
| Publisher Date | 2021-06-09 |
| Access Restriction | Open |
| Subject Keyword | Sensors Information and Library Science Mobile Social Networks Privacy-enhancing Collaboration Architecture Location Search Secure Multi-party Computation Homomorphic Encryption |
| Content Type | Text |
| Resource Type | Article |
