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Secure Routine: A Routine-Based Algorithm for Drivers Identification

Authors:
Davide Micale
Gianpiero Costantino
Ilaria Matteucci
Giuseppe Patanè
Giampaolo Bella

Keywords: driver identification; secure routine; machine learning; automotive

Abstract:
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.

Pages: 40 to 45

Copyright: Copyright (c) IARIA, 2020

Publication date: October 18, 2020

Published in: conference

ISSN: 2327-2058

ISBN: 978-1-61208-795-5

Location: Porto, Portugal

Dates: from October 18, 2020 to October 22, 2020