摘要
近年来,随着传感器技术、物联网技术、通信技术和人工智能技术的不断发展,智能网联汽车处于高速发展时期,为智能网联汽车的技术提升与发展提供了技术保障。随着开放性通信技术的发展,智能网联汽车在应用过程中遭受网络攻击几率增加,现有网络安全技术逐渐不适用于智能网联汽车。汽车网络异常监测技术可以对特定场景中的恶意网络攻击行为进行预测,是一种有效的防御手段。针对目前智能网联汽车安全问题,提出一种新型网络安全技术,可以提升对智能网联汽车多种网络异常行为的预测能力。研究结果对于提升智能网联汽车通信安全与发展速度提供技术保障。
In recent years,with the continuous development of sensor technology,Internet of Things technology,communication technology and artificial intelligence technology,smart connected cars are in a period of high speed development,which provides technical guarantee for the technical improvement and development of smart connected cars.With the development of open communication technology,the chances of network attacks on smart connected cars increase in the application process,and the existing network security technology is not applicable to smart connected cars.Automotive network anomaly monitoring technology can predict malicious network attacks in specific scenarios and is an effective defense tool.This study proposes a novel cybersecurity technique to address the current security problems of smart connected cars,which can improve the prediction capability of multiple network anomalous behaviors of smart connected cars.The research results provide technical assurance for improving the communication security and high-speed development of smart connected vehicles.
作者
徐旭
冯振威
姚会君
XU Xu;FENG Zhenwei;YAO Huijun(Huanghe Jiaotong University,Wuzhi 454950,China)
出处
《农机使用与维修》
2023年第4期124-126,共3页
Agricultural Machinery Using & Maintenance
基金
黄河交通学院2021年度课程(HHJTXY-2021KCZYK079)。
关键词
智能网联
车联网
异常行为检测
生成对抗性网络
smart grid
connected vehicles
anomalous behavior detection
generate adversarial network
