AI-based Intrusion Detection for Intelligence Internet of Vehicles

被引：10
作者：
Man, Dapeng [1 ]
Zeng, Fanyi [2 ]
Lv, Jiguang [1 ]
Xuan, Shichang [1 ]
Yang, Wu [1 ]
Guizani, Mohsen [3 ]
机构：
[1] Harbin Engn Univ, Harbin, Peoples R China
[2] Harbin Engn Univ, Coll Comp Sci & Technol, Harbin, Peoples R China
[3] Mohamed Bin Zayed Univ Artificial Intelligence, Machine Learning Dept, Doha, Qatar
来源：
IEEE CONSUMER ELECTRONICS MAGAZINE | 2023年 / 12卷 / 01期
基金：
中国国家自然科学基金;
关键词：
Intrusion detection; Security; Vehicular ad hoc networks; Internet of Things; Artificial intelligence; Feature extraction; Convolutional neural networks; DETECTION SYSTEM;
D O I：
10.1109/MCE.2021.3137790
中图分类号：
TP3 [计算技术、计算机技术];
学科分类号：
0812 ;
摘要：
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.
引用
收藏
页码：109 / 116
页数：8
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