Automotive Cybersecurity Application Based on CARDIAN

Emanuele Santonicola, Ennio Andrea Adinolfi (), Simone Coppola and Francesco Pascale ()
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Emanuele Santonicola: MinervaS S.P.A., Via Giovanni Paolo II 132, 84084 Fisciano, SA, Italy
Ennio Andrea Adinolfi: MinervaS S.P.A., Via Giovanni Paolo II 132, 84084 Fisciano, SA, Italy
Simone Coppola: MinervaS S.P.A., Via Giovanni Paolo II 132, 84084 Fisciano, SA, Italy
Francesco Pascale: MinervaS S.P.A., Via Giovanni Paolo II 132, 84084 Fisciano, SA, Italy

Future Internet, 2023, vol. 16, issue 1, 1-15

Abstract: Nowadays, a vehicle can contain from 20 to 100 ECUs, which are responsible for ordering, controlling and monitoring all the components of the vehicle itself. Each of these units can also send and receive information to other units on the network or externally. For most vehicles, the controller area network (CAN) is the main communication protocol and system used to build their internal network. Technological development, the growing integration of devices and the numerous advances in the field of connectivity have allowed the vehicle to become connected, and the flow of information exchanged between the various ECUs (electronic control units) becomes increasingly important and varied. Furthermore, the vehicle itself is capable of exchanging information with other vehicles, with the surrounding environment and with the Internet. As shown by the CARDIAN project, this type of innovation allows the user an increasingly safe and varied driving experience, but at the same time, it introduces a series of vulnerabilities and dangers due to the connection itself. The job of making the vehicle safe therefore becomes critical. In recent years, it has been demonstrated in multiple ways how easy it is to compromise the safety of a vehicle and its passengers by injecting malicious messages into the CAN network present inside the vehicle itself. The purpose of this article is the construction of a system that, integrated within the vehicle network, is able to effectively recognize any type of intrusion and tampering.

Keywords: automotive; cybersecurity; CAN bus; IoT; intrusion detection systems; Bayesian network (search for similar items in EconPapers)
JEL-codes: O3 (search for similar items in EconPapers)
Date: 2023
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