Transformer Model with Multi-Type Classification Decisions for Intrusion Attack Detection of Track Traffic and Vehicle-Reference-Cited by-同舟云学术

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Transformer Model with Multi-Type Classification Decisions for Intrusion Attack Detection of Track Traffic and Vehicle

Published:2024-04-14 Issue: Volume:5 Page:4510-4514
ISSN:
Container-title:ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
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Author:

Guan Quanlong¹,Zhang Tian¹,Qin Yu¹,Zhou Yuyu²,Zhu Yangguang¹,Zhong Yuansheng³,Huang Xiujie¹,Duan Zhifei⁴,Li Zhefu¹,Liu Changjiang³,Wu Xiaofeng⁵

Affiliation:

1. Jinan University,College of Information Science and Technology,Guangzhou,China

2. Jinan University,School of Intelligent Systems Science and Engineering,Zhuhai,China

3. Guangdong Testing Institute of Product Quality Supervision,Guangdong,China

4. Guangzhou XPeng Motors Technology Co. Ltd,Guangdong,China

5. Guangzhou Polytechnic of Sports,Guangzhou,China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10445798/10445803/10447002.pdf?arnumber=10447002

Reference21 articles.

1. P2BA: A Privacy-Preserving Protocol With Batch Authentication Against Semi-Trusted RSUs in Vehicular Ad Hoc Networks

2. A survey of network intrusion detection technology;Jian;Journal of Information Security,2020

3. TROVE: A Context-Awareness Trust Model for VANETs Using Reinforcement Learning

4. Vsrq: Quantitative assessment method for safety risk of vehicle intelligent connected system;Zhang,2023

5. Edge-Assisted Privacy-Preserving Raw Data Sharing Framework for Connected Autonomous Vehicles

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