An Overview of Vehicular Cybersecurity for Intelligent Connected Vehicles

Tian Guan, Yi Han, Nan Kang, Ningye Tang, Xu Chen and Shu Wang
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Tian Guan: School of Automobile, Chang’an University, Xi’an 710064, China
Yi Han: School of Automobile, Chang’an University, Xi’an 710064, China
Nan Kang: School of Automobile, Chang’an University, Xi’an 710064, China
Ningye Tang: School of Automobile, Chang’an University, Xi’an 710064, China
Xu Chen: School of Automobile, Chang’an University, Xi’an 710064, China
Shu Wang: School of Automobile, Chang’an University, Xi’an 710064, China

Sustainability, 2022, vol. 14, issue 9, 1-17

Abstract: Cybersecurity is one of the most important challenges in the intelligent connected vehicle system. Interconnected vehicles are vulnerable to different network security attacks, which endanger the safety of passengers. This review paper firstly analyses the reasons why the current vehicle network is vulnerable to network attack and summarizes the three implementation methods of network security threats. The necessity of vehicle network security research and deployment is also analyzed. After giving a short introduction to the vehicular network security, this review paper identifies major security attacks on intelligent connected vehicles. Then the security enhancement technology of vehicle networks from three aspects are introduced, including vehicle network data encryption technology, vehicle network message authentication technology, and vehicle network anomaly intrusion detection technology. Then we analyze three common methods of abnormal intrusion detection in vehicle networks and explore the future research for preventing attacks on the network security of intelligent vehicle systems.

Keywords: vehicular network; intelligent connected vehicle; cyber security (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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