Back to Search Start Over

Attacks and defences on intelligent connected vehicles: a survey

Authors :
Mahdi Dibaei
Xi Zheng
Kun Jiang
Robert Abbas
Shigang Liu
Yuexin Zhang
Yang Xiang
Shui Yu
Source :
Digital Communications and Networks, Vol 6, Iss 4, Pp 399-421 (2020)
Publication Year :
2020
Publisher :
KeAi Communications Co., Ltd., 2020.

Abstract

Intelligent vehicles are advancing at a fast speed with the improvement of automation and connectivity, which opens up new possibilities for different cyber-attacks, including in-vehicle attacks (e.g., hijacking attacks) and vehicle-to-everything communicationattacks (e.g., data theft). These problems are becoming increasingly serious with the development of 4G LTE and 5G communication technologies. Although many efforts are made to improve the resilience to cyber attacks, there are still many unsolved challenges. This paper first identifies some major security attacks on intelligent connected vehicles. Then, we investigate and summarize the available defences against these attacks and classify them into four categories: cryptography, network security, software vulnerability detection, and malware detection. Remaining challenges and future directions for preventing attacks on intelligent vehicle systems have been discussed as well.

Details

Language :
English
ISSN :
23528648
Volume :
6
Issue :
4
Database :
Directory of Open Access Journals
Journal :
Digital Communications and Networks
Publication Type :
Academic Journal
Accession number :
edsdoj.78b10dcd96f438abe982c026a90e2c1
Document Type :
article
Full Text :
https://doi.org/10.1016/j.dcan.2020.04.007