安全例行:司机身份识别的例行定级 (Secure Routine: A Routine-Based Algorithm for Drivers Identification)

from arxiv, 6 pages, 4 figures, published in VEHICULAR 2020, The Ninth International Conference on Advances in Vehicular Systems, Technologies and Applications

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.

翻译：在运输系统中引进信息和通信技术(信通技术)可带来若干好处(运输效率、机动性、交通管理),但是,这可能在增加安全挑战方面带来一些缺点,也与人类行为有关。举例来说,过去几十年来,对驾驶者行为进行定性的尝试大多以目标为目标。本文介绍了安全规则,这是使用驾驶者习惯来识别驾驶者身份,特别是区分车辆所有人和其他驾驶者的一种模式。我们结合基于机器学习技术的其他三项现有研究工作,对安全规则进行了评估。衡量结果时使用了众所周知的衡量标准,并表明安全规则比比较的工程要强。