Research and Analysis of Vulnerabilities in Intelligent Connected Vehicle Components

The increasing prominence of security issues in intelligent connected vehicles, particularly economic losses caused by component vulnerabilities, necessitates a comprehensive study. This research focuses on the identification of methods for detecting component vulnerabilities and their specific applications in intelligent connected vehicles. The study explores the reasons behind frequent component security problems and highlights the challenges in analyzing such vulnerabilities. Using intelligent connected vehicle components, different attack vectors, and Common Weakness Enumeration (CWE) as key perspectives, vulnerability analysis and research were conducted. The research employed principles of intelligent connected vehicle firmware program vulnerability scanning technology, accompanied by a data processing framework. The findings provide valuable insights for improving the security of intelligent connected vehicle components. By addressing the research gap, this study contributes to the theoretical understanding and practical mitigation of security risks in the intelligent connected vehicle ecosystem. Enhancing the security of component firmware will lead to a safer and more robust intelligent connected vehicle infrastructure, with implications for the industry, consumers, and society as a whole.