In the developing topic of smart cities, Vehicular Ad-Hoc Networks (VANETs) are crucial for providing successful interaction between vehicles and infrastructure. This research proposes a distributed Blockchain-based Vehicular Ad-hoc Network (DistB-VNET) architecture that includes binary malicious traffic classification, Software Defined Networking (SDN), and Network Function Virtualization (NFV) to ensure safe, scalable, and reliable vehicular networks in smart cities. The suggested framework is the decentralized blockchain for safe data management and SDN-NFV for dynamic network management and resource efficiency and a noble isolation forest algorithm works as an IDS (Intrusion Detection System). Further, "DistB-VNET" offers a dual-layer blockchain system, where a distributed blockchain provides safe communication between vehicles, while a centralized blockchain in the cloud is in charge of data verification and storage. This improves security, scalability, and adaptability, ensuring better traffic management, data security, and privacy in VANETs. Furthermore, the unsupervised isolation forest model achieves a high accuracy of 99.23% for detecting malicious traffic. Additionally, reveals that our method greatly improves network performance, offering decreased latency, increased security, and reduced congestion, an effective alternative for existing smart city infrastructures.

翻译：在智慧城市这一新兴领域中，车载自组织网络（VANETs）对于实现车辆与基础设施之间的有效交互至关重要。本研究提出了一种基于区块链的分布式车载自组织网络（DistB-VNET）架构，该架构融合了二元恶意流量分类、软件定义网络（SDN）与网络功能虚拟化（NFV），以确保智慧城市中车载网络的安全性、可扩展性和可靠性。该框架采用去中心化区块链实现安全数据管理，利用SDN-NFV进行动态网络管理与资源优化，并引入一种新颖的隔离森林算法作为入侵检测系统（IDS）。此外，DistB-VNET 提供双层区块链系统：分布式区块链负责车辆间的安全通信，而云端集中式区块链则负责数据验证与存储。这显著提升了系统的安全性、可扩展性与适应性，从而保障了车载自组织网络中更优的交通管理、数据安全与隐私保护。实验表明，无监督隔离森林模型在恶意流量检测中达到了99.23%的高准确率。同时，研究结果证明该方法能显著改善网络性能，降低延迟、增强安全性并减少拥塞，为现有智慧城市基础设施提供了一种有效的替代方案。