Automobile Applied Technology ›› 2024, Vol. 49 ›› Issue (18): 34-37,49.DOI: 10.16638/j.cnki.1671-7988.2024.018.006
• Intelligent Connected Vehicle • Previous Articles
WANG Na, LIU Xu, HU Qiwen, LUO Hao, LIN Huiwen
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王 娜,刘 旭,胡琪雯,罗 浩,林慧雯
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Abstract: Intelligent vehicles commonly utilize remote diagnostic technology to obtain information about the vehicle's operational status and efficiently resolve vehicle malfunctions. To prevent hackers from exploiting security vulnerabilities in the remote diagnostic system for unauthorized operations that threaten the safety of users' lives and property, this paper conducts information security design and research based on a general remote diagnostic system architecture. Through detailed security threat and risk analysis, this study thoroughly investigates information security protection schemes and key technologies (such as identity authentication, secure storage, etc.), and adopts effective implementation plans. By reverification of threat analysis and risk assessment, it can significantly enhance the protective capabilities of the remote diagnostic system and reduce information security risks.
Key words: Intelligent connected vehicles; Remote diagnosis; Information security; Security threat; Risk analysis
摘要: 智能汽车普遍采用远程诊断技术获取汽车运行状态信息,高效解决汽车故障。为了防 止黑客利用远程诊断系统中安全漏洞,进行非授权操作,威胁用户的生命财产安全,文章基 于通用的远程诊断系统架构进行信息安全设计与研究。通过详细的安全威胁和风险分析,对 信息安全防护方案和关键技术(如身份认证、安全存储等)进行详细研究,并采取了有效实 施方案,通过再次核验威胁分析与风险评估验证,可以大幅度提高远程诊断系统的防护能力, 降低信息安全风险。
关键词: 智能网联汽车;远程诊断;信息安全;安全威胁;风险分析
WANG Na, LIU Xu, HU Qiwen, LUO Hao, LIN Huiwen. Design and Research on Information Security of Vehicle Remote Diagnosis[J]. Automobile Applied Technology, 2024, 49(18): 34-37,49.
王 娜,刘 旭,胡琪雯,罗 浩,林慧雯. 汽车远程诊断的信息安全设计与研究[J]. 汽车实用技术, 2024, 49(18): 34-37,49.
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URL: http://www.aenauto.com/EN/10.16638/j.cnki.1671-7988.2024.018.006
http://www.aenauto.com/EN/Y2024/V49/I18/34