用AI协同检测智能汽车威胁，提升网络安全防护能力。
Collaborative Approaches to Enhancing Smart Vehicle Cybersecurity by AI-Driven Threat Detection
- 融合AI、5G、区块链等技术实现多层威胁检测
- 构建包含安全软硬件与威胁情报的综合防御体系
- 适合自动驾驶与车联网安全研究者参考
随着汽车行业日益普及联网与自动化车辆（CAVs），强化网络安全变得至关重要。新出现的漏洞和安全需求促使先进科技如5G网络、区块链及量子计算成为提升CAV安全性的潜在途径。自动驾驶车辆的安全性路线图强调高效入侵检测系统与基于AI的技术，结合安全硬件、软件栈及高级威胁情报，以应对未来自动驾驶车辆的网络安全挑战。
原文摘要 · Abstract (English)
The introduction sets the stage for exploring collaborative approaches to bolstering smart vehicle cybersecurity through AI-driven threat detection. As the automotive industry increasingly adopts connected and automated vehicles (CAVs), the need for robust cybersecurity measures becomes paramount. With the emergence of new vulnerabilities and security requirements, the integration of advanced technologies such as 5G networks, blockchain, and quantum computing presents promising avenues for enhancing CAV cybersecurity . Additionally, the roadmap for cybersecurity in autonomous vehicles emphasizes the importance of efficient intrusion detection systems and AI-based techniques, along with the integration of secure hardware, software stacks, and advanced threat intelligence to address cybersecurity challenges in future autonomous vehicles.
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