On the Privacy Afforded by Opaque Identifiers in Traffic Monitoring

Marcus Gelderie

2024

Abstract

We consider traffic monitoring via license plate recognition. Anonymizing license plates by substituting randomized identifiers is a common privacy enhancing strategy in this situation. However, the systematic effect of this anonymization strategy has not been fully explored. We study the information gain of an adversary upon observing such anonymized output. We find the effectiveness of randomized IDs to deteriorate with decreasing popularity of a given route. Moreover, we study the effect differential privacy has on the situation, given that an adversary must be assumed to have prior knowledge about the likelihood of various traffic patterns. We find that travel participants with a very strong preference for a given route are put most at risk.

Paper Citation

in Harvard Style

Gelderie M. (2024). On the Privacy Afforded by Opaque Identifiers in Traffic Monitoring. In Proceedings of the 21st International Conference on Security and Cryptography - Volume 1: SECRYPT; ISBN 978-989-758-709-2, SciTePress, pages 798-803. DOI: 10.5220/0012833200003767

in Bibtex Style

@conference{secrypt24,
author={Marcus Gelderie},
title={On the Privacy Afforded by Opaque Identifiers in Traffic Monitoring},
booktitle={Proceedings of the 21st International Conference on Security and Cryptography - Volume 1: SECRYPT},
year={2024},
pages={798-803},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0012833200003767},
isbn={978-989-758-709-2},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 21st International Conference on Security and Cryptography - Volume 1: SECRYPT
TI - On the Privacy Afforded by Opaque Identifiers in Traffic Monitoring
SN - 978-989-758-709-2
AU - Gelderie M.
PY - 2024
SP - 798
EP - 803
DO - 10.5220/0012833200003767
PB - SciTePress