Secure Routine: A Routine-Based Algorithm for Drivers Identification

TL;DR

Secure Routine is a novel algorithm that leverages drivers' habitual behaviors for vehicle owner identification, demonstrating superior performance over existing machine learning-based methods in security applications.

Contribution

The paper introduces Secure Routine, a new routine-based driver identification algorithm that outperforms existing machine learning approaches in distinguishing vehicle owners.

Findings

Secure Routine outperforms existing methods in driver identification accuracy.

The approach effectively distinguishes vehicle owners from other drivers.

Results show improved security in transportation systems.

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.