T-Shaped CAN Feature Integration With Lightweight Deep Learning Model for In-Vehicle Network Intrusion Detection

被引：0
|
作者：
Huan, Sha [1 ]
Zhang, Xiaoyi [2 ]
Shang, Wenli [1 ]
Cao, Haitao [3 ]
Li, Heng [1 ]
Yang, Yuanjia [1 ]
Liu, Wenbai [1 ]
机构：
[1] Guangdong Higher Education Institute, School of Electronics and Communication Engineering, Guangzhou University, Key Laboratory of On-Chip Communication and Sensor Chip, Guangzhou,510006, China
[2] Guangdong Technology College, School of Electrical and Electronic Engineering, Zhaoqing,526000, China
[3] Guangzhou Panyu Polytechnic, School of Information Engineering, Guangzhou,511483, China
来源：
IEEE Transactions on Intelligent Transportation Systems | 2024年 / 25卷 / 12期
关键词：
Network intrusion;
D O I：
10.1109/TITS.2024.3478371
中图分类号：
学科分类号：
摘要：
引用
收藏
页码：21183 / 21196
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