AI-based Intrusion Detection for Intelligence Internet of Vehicles
| Author | Man, Dapeng |
| Author | Zeng, Fanyi |
| Author | Lv, Jiguang |
| Author | Xuan, Shichang |
| Author | Yang, Wu |
| Author | Guizani, Mohsen |
| Available date | 2022-11-13T06:28:43Z |
| Publication Date | 2021-01-01 |
| Publication Name | IEEE Consumer Electronics Magazine |
| Identifier | http://dx.doi.org/10.1109/MCE.2021.3137790 |
| Citation | Man, 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. |
| ISSN | 21622248 |
| 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 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. |
| Language | en |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| Subject | Artificial intelligence Convolutional neural networks Feature extraction Internet of Things Intrusion detection Security Vehicular ad hoc networks |
| Type | Article |
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