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Selected Works of Mohsen Guizani
Article
AI-based Intrusion Detection for Intelligence Internet of Vehicles
IEEE Consumer Electronics Magazine
  • Dapeng Man, Harbin Engineering University
  • Fanyi Zeng, Harbin Engineering University
  • Jiguang Lv, Harbin Engineering University
  • Shichang Xuan, Harbin Engineering University
  • Wu Yang, Harbin Engineering University
  • Mohsen Guizani, Mohamed Bin Zayed University of Artificial Intelligence
Link
Document Type
Article
Abstract

With 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 article first briefly introduces the concept and features of IoV, and then reviews the related research on AI-based IoV intrusion detection systems. Finally, we discuss the open challenges and future research directions.

DOI
10.1109/MCE.2021.3137790
Publication Date
12-23-2021
Keywords
  • Feature extraction,
  • Internet of things,
  • Intrusion detection,
  • Network security,
  • Neural networks,
  • Vehicles
Disciplines
Comments

IR Deposit conditions:

OA version (pathway a) Accepted version

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When accepted for publication, set statement to accompany deposit (see policy)

Must link to publisher version with DOI

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Citation Information
D. Man, F. Zeng, J. Lv, S. Xuan, W. Yang and M. Guizani, "AI-based Intrusion Detection for Intelligence Internet of Vehicles," in IEEE Consumer Electronics Magazine, vol. 12, no. 1, pp. 109-116, 1 Jan. 2023, doi: 10.1109/MCE.2021.3137790.