Interplay of ML and blockchain for secure Internet of Military Vehicles communication underlying 5G

Internet of Things (IoT) networks have rapidly transformed various sectors, including modern warfare, where Internet of Military Vehicles (IoMVs) enable remote connection, monitoring, and data sharing. However, IoMV sensors lack inherent security measures to combat threats such as DDoS, jamming, and spoofing. Traditional security solutions relying on AI face challenges such as inefficient feature selection, lack of transparency, and susceptibility to data tampering. In this paper, we propose an AI and Blockchain based secure data exchange architecture for battlefield IoMV networks. Our approach employs an Explainable Artificial Intelligence (XAI) technique for optimal feature selection and uses five different Machine Learning algorithms to classify malicious and non-malicious data. Notably, the XGBoost model achieves an accuracy of 98.8%. Non-malicious data is securely forwarded to a blockchain network, where a smart contract validates its legitimacy, and stored off-chain using the Inter-Planetary File System (IPFS) to enhance scalability and reduce storage costs. Additionally, leveraging low latency 5G communication ensures rapid and reliable data transmission. This integration of AI for real-time threat detection, blockchain for tamper-proof storage, and 5G for enhanced communication significantly improves battlefield operations by enabling secure and efficient decision-making.