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AuthorMan, Dapeng
AuthorZeng, Fanyi
AuthorLv, Jiguang
AuthorXuan, Shichang
AuthorYang, Wu
AuthorGuizani, Mohsen
Available date2022-11-13T06:28:43Z
Publication Date2021-01-01
Publication NameIEEE Consumer Electronics Magazine
Identifierhttp://dx.doi.org/10.1109/MCE.2021.3137790
CitationMan, D., Zeng, F., Lv, J., Xuan, S., Yang, W., & Guizani, M. (2021). AI-based Intrusion Detection for Intelligence Internet of Vehicles. IEEE Consumer Electronics Magazine.‏
ISSN21622248
URIhttps://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85122081705&origin=inward
URIhttp://hdl.handle.net/10576/36241
AbstractWith the development of intelligent technologies, Internet of Things (IoT) opens up a new era in the field of automotive networks, namely Internet of Vehicles (IoV). The main goal of IoV is to provide a secure and reliable network to vehicles so that users can enjoy various services. However, vulnerabilities and incomplete protection mechanisms have led to a proliferation of security threats against IoV networks. Intrusion detection technology is an effective protection solution for IoV security, especially when Artificial Intelligence (AI) technology has been introduced into intrusion detection study. This paper first briefly introduces the concept and features of IoV, and then reviews the related research on AI-based IoV intrusion detection systems (IDSs). Finally, we discuss the open challenges and future research directions.
Languageen
PublisherInstitute of Electrical and Electronics Engineers Inc.
SubjectArtificial intelligence
Convolutional neural networks
Feature extraction
Internet of Things
Intrusion detection
Security
Vehicular ad hoc networks
TitleAI-based Intrusion Detection for Intelligence Internet of Vehicles
TypeArticle
dc.accessType Abstract Only


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