The Internet of Vehicles (IoV) is flourishing and offers various applications relating to road safety, traffic and fuel efficiency, and infotainment. Dealing with security and privacy threats and managing the trust (detecting malicious and misbehaving peers) in IoV remains the most significant concern. Artificial Intelligence is one of the most revolutionizing technologies, and the predictive power of its machine learning models can help detect intrusions and misbehaviors. Similarly, empowering the state-of-the-art IoV security framework with blockchain can make it secure and resilient. This article discusses joint AI and blockchain for security, privacy and trust-related risks in IoV. This paper also presents problems, challenges, requirements and solutions using ML and blockchain to address aforementioned issues in IoV.
翻译:车辆互联网(IoV)正在蓬勃发展,提供各种与道路安全、交通和燃料效率及信息相关的应用软件。处理安全和隐私威胁以及管理IoV中的信任(发现恶意和行为不当的同行)仍然是最重要的关注事项。人工智能是最具革命性的技术之一,其机器学习模型的预测力可以帮助探测入侵和不当行为。同样,赋予最先进的IoV安全框架以安全链,使其具有复原力。本文章讨论了AI和IoV中安全、隐私和信任相关风险的链。本文还介绍了使用ML和链的问题、挑战、要求和解决办法,以解决IoV中的上述问题。