Secure and efficient pseudonymization for privacy-preserving vehicular communications in smart cities. (March 2020)
- Record Type:
- Journal Article
- Title:
- Secure and efficient pseudonymization for privacy-preserving vehicular communications in smart cities. (March 2020)
- Main Title:
- Secure and efficient pseudonymization for privacy-preserving vehicular communications in smart cities
- Authors:
- Bouchelaghem, Siham
Omar, Mawloud - Abstract:
- Highlights: This work introduces an efficient pseudonym changing strategy in vehicular networks. Cryptographic primitives and vehicular communications are combined to ensure location privacy. Well-known security and privacy threats are prevented at low computational cost. Proposed approach achieves better performances compared to existing solutions of the literature. Simulation results show suitability of the proposed approach for ITS applications. Abstract: The emergence of modern Intelligent Transportation Systems (ITS) based on vehicular networks (VNs) has diversified the range of applications provided to drivers and passengers during their road trips. To fully benefit from these services, vehicles need however to share their geolocation data making location privacy a critical issue. Hence, to mitigate these threats and promote VNs use in developing Smart Cities, it is vital to guarantee conditional anonymity to vehicular users. In this paper, we propose an efficient pseudonym changing strategy for privacy-preserving in VNs. The proposed approach uses threshold cryptography properties to provide moving vehicles with pseudonyms, allowing them to communicate anonymously during their journey. These vehicles though can be traced back by trusted authorities in case of misbehavior actions. We evaluate the efficiency of the proposed approach by comparison with concurrent solutions, where it demonstrates the best results in both congested road traffic and dense infrastructureHighlights: This work introduces an efficient pseudonym changing strategy in vehicular networks. Cryptographic primitives and vehicular communications are combined to ensure location privacy. Well-known security and privacy threats are prevented at low computational cost. Proposed approach achieves better performances compared to existing solutions of the literature. Simulation results show suitability of the proposed approach for ITS applications. Abstract: The emergence of modern Intelligent Transportation Systems (ITS) based on vehicular networks (VNs) has diversified the range of applications provided to drivers and passengers during their road trips. To fully benefit from these services, vehicles need however to share their geolocation data making location privacy a critical issue. Hence, to mitigate these threats and promote VNs use in developing Smart Cities, it is vital to guarantee conditional anonymity to vehicular users. In this paper, we propose an efficient pseudonym changing strategy for privacy-preserving in VNs. The proposed approach uses threshold cryptography properties to provide moving vehicles with pseudonyms, allowing them to communicate anonymously during their journey. These vehicles though can be traced back by trusted authorities in case of misbehavior actions. We evaluate the efficiency of the proposed approach by comparison with concurrent solutions, where it demonstrates the best results in both congested road traffic and dense infrastructure deployment scenarios. … (more)
- Is Part Of:
- Computers & electrical engineering. Volume 82(2020)
- Journal:
- Computers & electrical engineering
- Issue:
- Volume 82(2020)
- Issue Display:
- Volume 82, Issue 2020 (2020)
- Year:
- 2020
- Volume:
- 82
- Issue:
- 2020
- Issue Sort Value:
- 2020-0082-2020-0000
- Page Start:
- Page End:
- Publication Date:
- 2020-03
- Subjects:
- Vehicular networks -- Conditional anonymity -- Pseudonym changing -- Threshold cryptography -- Privacy
Computer engineering -- Periodicals
Electrical engineering -- Periodicals
Electrical engineering -- Data processing -- Periodicals
Ordinateurs -- Conception et construction -- Périodiques
Électrotechnique -- Périodiques
Électrotechnique -- Informatique -- Périodiques
Computer engineering
Electrical engineering
Electrical engineering -- Data processing
Periodicals
Electronic journals
621.302854 - Journal URLs:
- http://www.sciencedirect.com/science/journal/00457906/ ↗
http://www.elsevier.com/journals ↗ - DOI:
- 10.1016/j.compeleceng.2020.106557 ↗
- Languages:
- English
- ISSNs:
- 0045-7906
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 3394.680000
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 12954.xml