摘要
智能网联汽车促进了交通运输的革新与发展,同时也伴生了网络安全问题,给用户的生命、财产造成了巨大的威胁。入侵检测技术作为一种轻量化的防御技术,能够通过建立的特征对攻击进行有效检测,从而完成对攻击的进一步分析与防御。从广泛使用的车载网络出发,调研了近年来针对常见攻击所提出的入侵检测技术,并对这些技术的特征与方法进行了划分,体现了不同技术之间的先进性与局限性,为车载网络入侵检测技术的研发提供了借鉴。
Intelligent connected vehicles have promoted the innovation and development of transportation;however,ICVs are challenged by network security issues.The intrusion detection technology,as a lightweight defense technology,includes effective detection based on the established features of attacks,further analysis and defense of the attack.This paper investigates the intrusion detection technologies to prevent common in-vehicle network attacks in recent years,classifies these technologies based on shared characteristics and methods,and compares the advantages and limitations of different technologies.The paper provides a reference for the research and development of in-vehicle network intrusion detection.
作者
童一帆
陈涛
陈宇鹏
TONG Yifan;CHEN Tao;CHEN Yupeng(China Automotive Engineering Research Institute Co.,Ltd.,Chongqing 401122,China)
出处
《汽车工程学报》
2022年第5期557-566,共10页
Chinese Journal of Automotive Engineering
关键词
入侵检测
车载网络
流量
负载
深度学习
intrusion detection
vehicular network
flow
payload
deep learning