The introduction of Information and Communication Technology (ICT) in transportation systems leads to several advantages (efficiency of transport, mobility, traffic management). However, it may bring some drawbacks in terms of increasing security challenges, also related to human behaviour. As an example , in the last decades attempts to characterize drivers' behaviour have been mostly targeted. This paper presents Secure Routine, a paradigm that uses driver's habits to driver identification and, in particular, to distinguish the vehicle's owner from other drivers. We evaluate Secure Routine in combination with other three existing research works based on machine learning techniques. Results are measured using well-known metrics and show that Secure Routine outperforms the compared works.
@article{arxiv.2112.06200,
title = {Secure Routine: A Routine-Based Algorithm for Drivers Identification},
author = {Davide Micale and Gianpiero Costantino and Ilaria Matteucci and Giuseppe Patanè and Giampaolo Bella},
journal= {arXiv preprint arXiv:2112.06200},
year = {2021}
}
Comments
6 pages, 4 figures, published in VEHICULAR 2020, The Ninth International Conference on Advances in Vehicular Systems, Technologies and Applications