摘要
随着车联网技术的快速发展,智能网联汽车在交通效率提升、能源管理优化和用户体验改善等方面展现了广阔前景。然而,由于智能网联汽车具备高互联性,其网络安全问题愈发受到关注。该文针对智能网联汽车的网络安全挑战,从系统架构、威胁模型和关键技术,通过分析智能网联汽车的网络安全现状及其面临的主要威胁,探讨网络安全的核心技术以及基于人工智能的异常检测方法,最后结合典型案例提出了智能网联汽车网络安全的综合防护体系及未来研究方向,为智能网联汽车的安全发展提供参考。
With the rapid development of Telematics technology,intelligent connected vehicles show a broad prospect in terms of traffic efficiency enhancement,energy management optimisation and user experience improvement.However,due to the high interconnectivity of intelligent connected vehicles,their cybersecurity issues are getting more and more attention.This paper focuses on the cybersecurity challenges of intelligent networked vehicles,analyzes the cybersecurity status quo of intelligent networked vehicles and the main threats they face from the system architecture,threat model and key technologies,discusses the core technology of cybersecurity and the anomaly detection method based on artificial intelligence,and finally puts forward a comprehensive protection system and the future research direction of cybersecurity of intelligent networked vehicles in combination with a typical case to provide a reference for the security development of intelligent networked vehicles.automobile security development to provide reference.
作者
刘灵
朱厚友
张艺舰
LIU Ling;ZHU Houyou;ZHANG Yijian(Hainan Vocational University of Science and Technology,Haikou 570100,China)
出处
《农机使用与维修》
2025年第4期87-90,共4页
Agricultural Machinery Using & Maintenance
基金
海南科技职业大学校级重点项目(HKKY2024-ZD-01)。
作者简介
刘灵(1985-),男,海南澄迈人,硕士,高级工程师,研究方向为智能网联汽车、Hil硬件在环仿真技术。
