Privacy-Aware Autonomous Valet Parking: Towards Experience Driven Approach

Driverless parking, an influential application of Mobility as a Service (MaaS) model, is one of the clear early benefits for autonomous vehicles, given often narrow spaces and multiple potential hazards (such as pedestrians stepping out from in between other vehicles). In recent years, real momentum has been building up for designing automated parking models for vehicles. However, in such an autonomous parking design, location privacy and identity privacy issues are always overlapping due to the improper sharing of data. Most existing studies barely investigate and poorly address such privacy issues. Motivated by this, the authors develop (and evaluate) an experience-driven, secure and privacy-aware framework of parking reservations for automated cars. The authors' idea of using differential privacy with zero-knowledge proof provides both security and privacy guarantees to users. Furthermore, the performance of the developed model is enhanced by exploiting reinforcement learning approach such that the utility of the system and the parking reservation rate can be maximized. Extensive evaluation demonstrates the superiority of the proposed model.

• Record URL:
  http://dx.doi.org/10.1109/TITS.2020.3006337
• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/oclc/41297384
• Supplemental Notes:
  • Copyright © 2021, IEEE.
• Authors:
  • Pokhrel, Shiva Raj
  • 0000-0001-5819-765X
  • Qu, Youyang
  • 0000-0002-2944-4647
  • Nepal, Surya
  • 0000-0002-3289-6599
  • Singh, Surjit
  • 0000-0002-2386-7729
• Publication Date: 2021-8

Language

• English

Media Info

• Media Type: Web
• Features: References;
• Pagination: pp 5352-5363
• Serial:
  • IEEE Transactions on Intelligent Transportation Systems
  • Volume: 22
  • Issue Number: 8
  • Publisher: Institute of Electrical and Electronics Engineers (IEEE)
  • ISSN: 1524-9050
  • Serial URL: http://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=6979

Subject/Index Terms

• TRT Terms: Autonomous vehicles; Computer security; Data privacy; Machine learning; Parking
• Subject Areas: Data and Information Technology; Highways; Operations and Traffic Management;

Filing Info

• Accession Number: 01787751
• Record Type: Publication
• Files: TRIS
• Created Date: Nov 11 2021 3:21PM