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Who's Driving My Car? A Machine Learning based Approach to Driver Identification

机译:谁在开车?基于机器学习的司机识别方法

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Despite the development of new technologies, in order to prevent the stealing of cars, the number of car thefts is sharply increasing. With the advent of electronics, new ways to steal cars were found. To avoid auto-theft attacks, in this paper we propose a machine leaning based method to silently e continuously profile the driver by analyzing built-in vehicle sensors. We evaluate the efficiency of the proposed method in driver identification using 10 different drivers. Results are promising, as a matter of fact we obtain a high precision and a recall evaluating a dataset containing data extracted from real vehicle.
机译:尽管开发了新技术,但为了防止偷车,汽车盗窃数急剧增加。随着电子产品的出现,发现了新的偷车方式。为避免自动盗窃攻击,本文提出了一种基于机器的方法,通过分析内置车辆传感器来静默地静音概述驾驶员。我们使用10个不同驱动程序评估驾驶员识别中提出的方法的效率。结果很有希望,因为事实上我们获得了高精度,并且评估了从真实车辆提取的数据集的数据集。

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