Attacks and defences on intelligent connected vehicles: a survey

Dibaei, M; Zheng, X; Jiang, K; Abbas, R; Liu, S; Zhang, Y; Xiang, Y; Yu, S

Attacks and defences on intelligent connected vehicles: a survey

Dibaei, M Zheng, X Jiang, K Abbas, R Liu, S Zhang, Y Xiang, Y Yu, S

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Publisher:: Elsevier BV
Publication Type:: Journal Article
Citation:: Digital Communications and Networks, 2020
Issue Date:: 2020-01-01

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Field	Value	Language
dc.contributor.author	Dibaei, M
dc.contributor.author	Zheng, X
dc.contributor.author	Jiang, K
dc.contributor.author	Abbas, R
dc.contributor.author	Liu, S
dc.contributor.author	Zhang, Y
dc.contributor.author	Xiang, Y
dc.contributor.author	Yu, S https://orcid.org/0000-0003-4485-6743
dc.date.accessioned	2020-11-01T19:57:43Z
dc.date.available	2020-11-01T19:57:43Z
dc.date.issued	2020-01-01
dc.identifier.citation	Digital Communications and Networks, 2020
dc.identifier.issn	2468-5925
dc.identifier.issn	2352-8648
dc.identifier.uri	http://hdl.handle.net/10453/143670
dc.description.abstract	© 2020 Chongqing University of Posts and Telecommunications 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.
dc.language	en
dc.publisher	Elsevier BV
dc.relation.ispartof	Digital Communications and Networks
dc.relation.isbasedon	10.1016/j.dcan.2020.04.007
dc.rights	Elsevier required licence: © 2020 . This manuscript version is made available under the CC-BY-NC-ND 4.0 license http://creativecommons.org/licenses/by-nc-nd/4.0/. The definitive publisher version is available online at https://doi.org/10.1016/j.dcan.2020.04.007	en_US
dc.rights	info:eu-repo/semantics/openAccess
dc.subject	0805 Distributed Computing, 1005 Communications Technologies, 1203 Design Practice and Management
dc.title	Attacks and defences on intelligent connected vehicles: a survey
dc.type	Journal Article
utslib.for	0805 Distributed Computing
utslib.for	1005 Communications Technologies
utslib.for	1203 Design Practice and Management
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney
utslib.copyright.status	open_access	*
dc.date.updated	2020-11-01T19:57:37Z
pubs.publication-status	Published

Abstract:

© 2020 Chongqing University of Posts and Telecommunications 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.

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http://hdl.handle.net/10453/143670