Dongnhui Hu
- Professor
- Supervisor of Doctorate Candidates
- Supervisor of Master's Candidates
- Name (English):Dongnhui Hu
- Name (Pinyin):hdh
- School/Department:计算机与信息学院
- Administrative Position:教授
- Education Level:With Certificate of Graduation for Doctorate Study
- Degree:Doctoral degree
- Professional Title:Professor
- Status:Employed
- Alma Mater:武汉大学
- Teacher College:计算机与信息学院(人工智能学院)
- Discipline:Other specialties in Computer Science and Technology
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- Paper Publications
Privacy-Preserving Navigation Supporting Similar Queries in Vehicular Networks
Release time:2022-03-21 Hits:
- DOI number:10.1109/TDSC.2020.3017534
- Journal:IEEE Trans. Dependable and Secure Computing
- Abstract:Traffic-sensitive navigation systems in vehicular networks help drivers avoid traffic jams by providing several realtime navigation routes. However, drivers still encounter privacy concerns because their sensitive locations, i.e., their start point and endpoint, are submitted to an honest-but-curious navigation service provider (NSP). Previous privacy-preserving studies exhibit serious deficiencies under similar queries : if a driver makes several similar queries, i.e., periodically makes requests for the same start point and endpoint to the NSP, these requests will eventually reveal the areas of the two points as well as the route. In this article, we present a novel privacy-preserving navigation scheme PiSim, which supports similar queries in navigation services. Intuitively, we transform the typical navigation approach into a traffic congestion querying approach. Instead of sending two locations to the NSP and awaiting a navigation route, drivers query the traffic congestion along the navigation route. Specifically, PiSim is characterized by extending anonymous authentication, facilitating privacy-preserving multi-keyword fuzzy search, and constructing weighted proximity graphs. Our scheme protects location privacy and route privacy, and defends against multiple requesting, spurious reporting, and collusion attacks from malicious drivers. Finally, a detailed analysis confirms the privacy and security properties of PiSim. Extensive experiments are conducted to demonstrate the feasibility, performance, and privacy protection level.
- Indexed by:Journal paper
- Discipline:Engineering
- Document Type:J
- Volume:19
- Issue:2
- Page Number:1133-1148
- Translation or Not:no
- Date of Publication:2020-08-18