Certificate-Less Single-Use Pseudonym Scheme for Countering Trajectory Tracking Attacks in ITS

Periodic spatial-temporal safety messages play a significant role in supporting driving safety in Intelligent Transportation Systems (ITS). These messages include GPS coordination and are communicated between ITS nodes at small intervals to increase situational awareness and alleviate the risk of collision. However, even when pseudonyms are used rather than real IDs, an adversary can exploit the safety messages to deanonymize the trajectories of the ITS nodes. Specifically, the adversary can correlate collected pseudonyms to draw traces for node trajectory. This paper opts to tackle such vulnerability and proposes a novel certificate-less pseudonym scheme that withstands trajectory tracking attacks in ITS. Our scheme enables each node to autonomously generate a single-use pseudonym for every message while allowing a particular pseudonym to be generated by multiple nodes to increase false positive correlation of pseudonyms with nodes. Unlike competing approaches, we study the complete lifecycle of pseudonyms and show that our scheme is secure and lightweight. The simulation results demonstrate that our scheme considerably increases the anonymity of the ITS nodes and achieves a very low traceability rate.

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Publication Details

Journal
IEEE Transactions on Intelligent Transportation Systems
Published
2025-05-16
DOI
https://doi.org/10.1109/tits.2025.3568290
Primary Topic
Vehicular Ad Hoc Networks (VANETs)
Type
article
Field-Weighted Citation Impact
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article

Certificate-Less Single-Use Pseudonym Scheme for Countering Trajectory Tracking Attacks in ITS

Mohamed Younis, Abdulaziz Alshaeri
IEEE Transactions on Intelligent Transportation Systems
Vehicular Ad Hoc Networks (VANETs)
article

Certificate-Less Single-Use Pseudonym Scheme for Countering Trajectory Tracking Attacks in ITS

Mohamed Younis, Abdulaziz Alshaeri
article en

Abstract

Periodic spatial-temporal safety messages play a significant role in supporting driving safety in Intelligent Transportation Systems (ITS). These messages include GPS coordination and are communicated between ITS nodes at small intervals to increase situational awareness and alleviate the risk of collision. However, even when pseudonyms are used rather than real IDs, an adversary can exploit the safety messages to deanonymize the trajectories of the ITS nodes. Specifically, the adversary can correlate collected pseudonyms to draw traces for node trajectory. This paper opts to tackle such vulnerability and proposes a novel certificate-less pseudonym scheme that withstands trajectory tracking attacks in ITS. Our scheme enables each node to autonomously generate a single-use pseudonym for every message while allowing a particular pseudonym to be generated by multiple nodes to increase false positive correlation of pseudonyms with nodes. Unlike competing approaches, we study the complete lifecycle of pseudonyms and show that our scheme is secure and lightweight. The simulation results demonstrate that our scheme considerably increases the anonymity of the ITS nodes and achieves a very low traceability rate.

IEEE Transactions on Intelligent Transportation SystemsVol. 26(7)
University of Maryland, Baltimore County (US), King Khalid University (SA)
Openalex Percentile: Top 91%
Vehicular Ad Hoc Networks (VANETs)
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