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Who's Driving My Car? A machine learning based approach to driver identification

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.

4rd International Conference on Information Systems Security and Privacy (ICISSP 2018), Funchal, Portugal, 2018

External authors: Albina Orlando (Istituto per le Applicazioni del Calcolo "M. Picone", Consiglio Nazionale delle Ricerche), Vittoria Nardone (Dipartimento di Ingegneria, Università degli Studi del Sannio), Antonella Santone (Dipartimento di Bioscienze e Territorio, Università degli Studi del Molise)
IIT authors:

Type: Contributo in atti di convegno
Field of reference: Computer Science & Engineering

File: driving-car-machine.pdf

Activity: Sicurezza delle infrastrutture critiche