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SGO: Semantic Group Obfuscation for Location-Based Services in VANETS

Sensors (Basel, Switzerland), 2024-02, Vol.24 (4), p.1145 [Peer Reviewed Journal]

COPYRIGHT 2024 MDPI AG ;2024 by the authors. 2024 ;ISSN: 1424-8220 ;EISSN: 1424-8220 ;DOI: 10.3390/s24041145 ;PMID: 38400304

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  • Title:
    SGO: Semantic Group Obfuscation for Location-Based Services in VANETS
  • Author: Ullah, Ikram ; Shah, Munam Ali
  • Subjects: anonymizations ; location obfuscation ; location privacy ; location-based services ; Privacy ; pseudonyms ; VANETs
  • Is Part Of: Sensors (Basel, Switzerland), 2024-02, Vol.24 (4), p.1145
  • Description: Location privacy is an important parameter to be addressed in the case of vehicular ad hoc networks. Each vehicle frequently communicates with location-based services to find the nearest location of interest. The location messages communicated with the location server may contain sensitive information like vehicle identity, location, direction, and other headings. A Location-Based Services (LBS) server is not a trusted entity; it can interact with an adversary, compromising the location information of vehicles on the road and providing a way for an adversary to extract the future location tracks of a target vehicle. The existing works consider two or three neighboring vehicles as a virtual shadow to conceal location information. However, they did not fully utilize the semantic location information and pseudonym-changing process, which reduces the privacy protection level. Moreover, a lot of dummy location messages are generated that increase overheads in the network. To address these issues, we propose a Semantic Group Obfuscation (SGO) technique that utilizes both location semantics as well as an efficient pseudonym-changing scheme. SGO creates groups of similar status vehicles on the road and selects random position coordinates for communication with the LBS server. It hides the actual location of a target vehicle in a vicinity. The simulation results verify that the proposed scheme SGO improves the anonymization and entropy of vehicles, and it reduces the location traceability and overheads in the network in terms of computation cost and communication cost. The cost of overhead is reduced by 55% to 65% compared with existing schemes. We also formally model and specify SGO using High-Level Petri Nets (HLPNs), which show the correctness and appropriateness of the scheme.
  • Publisher: Switzerland: MDPI AG
  • Language: English
  • Identifier: ISSN: 1424-8220
    EISSN: 1424-8220
    DOI: 10.3390/s24041145
    PMID: 38400304
  • Source: Open Access: PubMed Central
    AUTh Library subscriptions: ProQuest Central
    GFMER Free Medical Journals
    Directory of Open Access Journals
    ROAD: Directory of Open Access Scholarly Resources
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