Differentially Private Map Matching for Mobility Trajectories-Reference-Cited by-同舟云学术

Differentially Private Map Matching for Mobility Trajectories

Published:2022-12-05 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 38th Annual Computer Security Applications Conference
language:
Short-container-title:

Author:

Haydari Ammar¹^ORCID,Chuah Chen-Nee¹^ORCID,Zhang Michael²^ORCID,Macfarlane Jane³^ORCID,Peisert Sean⁴^ORCID

Affiliation:

1. Electrical and Computer Engineering, University of California, Davis, United States of America

2. Civil and Environmental Engineering, University of California, Davis, United States of America

3. University of California, Berkeley, United States of America

4. Computing Sciences Research, Lawrence Berkeley National Laboratory, United States of America and Department of Computer Science, University of California, Davis, USA

Funder

Department of Transportation - University Transportation Centers, Center for Transportation, Environment, and Community Health (CTECH)

Lawrence Berkeley National Laboratory, operated for the U.S. Department of Energy

National Science Foundation HDR:TRIPODS grant

The US Department of Energy (DOE) Vehicle Technologies Office (VTO) under the Big Data Solutions for Mobility Program

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3564625.3567974

Reference45 articles.

1. Geo-indistinguishability

2. Comparison of accuracy of GPS techniques

3. Synthesizing Plausible Privacy-Preserving Location Traces

4. Revealing Privacy Vulnerabilities of Anonymous Trajectories

5. A Survey on Map-Matching Algorithms

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1. Trajectory-aware privacy-preserving method with local differential privacy in crowdsourcing;EURASIP Journal on Information Security;2024-09-02

2. AnotherMe: A Location Privacy Protection System based on Online Virtual Trajectory Generation;IEEE Transactions on Dependable and Secure Computing;2023