ABSTRACT Advanced Technologies are transforming the Automotive industry and the pace of innovation is accelerating at a breakneck speed. Autonomous Vehicles (AVs) incorporate many different systems and technologies and their increased computer functionality and connectivity lead to enormous cybersecurity risk. The aim of this research is to explore the significant factors that influence cyber threats on AVs and to examine their level of importance. Partial Least Squares path modeling was preferred for research studies for its flexible modeling and identifying key drivers. The data analysis was carried out using ADANCO 2.0.Tables 1 to develop and evaluate the structural model and the causal relationships between the variables. Correlation of in-vehicular network vulnerabilities with trust and the correlation between the “workload of the driverless system” with cyber-attacks and cyber threats to AVs are two relations but have not been touched upon in previous studies. In this research, a modified framework is proposed based on the Cyber Cycle and integrated model of Diamond Model of Intrusion Analysis with the Active Cyber Defense Cycle.

中文翻译：

---

影响网络威胁的因素对自动驾驶汽车的影响

摘要 先进技术正在改变汽车行业，创新步伐正以极快的速度加速。自动驾驶汽车 (AV) 结合了许多不同的系统和技术，它们增加的计算机功能和连接性会导致巨大的网络安全风险。本研究的目的是探索影响自动驾驶汽车网络威胁的重要因素并检查它们的重要性。偏最小二乘路径建模因其灵活的建模和识别关键驱动因素而成为研究研究的首选。使用 ADANCO 2.0 进行数据分析。表 1 以开发和评估结构模型以及变量之间的因果关系。车载网络漏洞与信任的相关性以及“无人驾驶系统的工作量”与网络攻击和对自动驾驶汽车的网络威胁之间的相关性是两种关系，但在之前的研究中并未涉及。在这项研究中，提出了一个基于网络周期和入侵分析钻石模型与主动网络防御周期集成模型的改进框架。