  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.
