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This paper introduces a blockchain-based key management framework for fog-enabled Flying Ad-Hoc Networks (FANETs) that uses a Post-Quantum Multivariate Identity-Based Signature Scheme (PQ-MISS) and Zero-Knowledge Proofs (ZKPs) for secure key establishment and privacy-preserving data aggregation. The framework leverages fog servers to construct partial blockchain blocks from validated UAV data, which are then completed and mined by Cloud Servers, enabling AI algorithms to analyze the verified data. NS-3 simulations demonstrate that PQ-MISS reduces communication overhead and improves data aggregation speed and reliability, offering advantages in computational cost, post-quantum security, and scalability compared to existing methods.
FANETs can achieve robust security and privacy against quantum threats without sacrificing efficiency, thanks to a novel blockchain-based key management framework.
The integration of Fog Computing with Flying Ad-Hoc Networks (FANETs) offers promising capabilities for decentralized, low-latency intelligence in UAV-based applications. However, the distributed nature, mobility, and resource constraints of FANETs expose them to significant security and privacy challenges, particularly against quantum threats. To address these issues, this work introduces a blockchain-based, AI-enhanced key management framework designed for fog-enabled FANETs. The proposed scheme employs a Post-Quantum Multivariate Identity-Based Signature Scheme (PQ-MISS) and Zero-Knowledge Proofs (ZKPs) to achieve secure key establishment, privacy-preserving data aggregation, and integrity verification. A polynomial composition-based encryption mechanism and an aggregate signature model support secure and efficient multi-device communication across fog and UAV layers. Fog servers construct partial blockchain blocks from validated UAV data. These blocks are completed and mined by Cloud Servers (CSs). AI algorithms then analyze the verified data to generate accurate predictions and insights. NS-3 simulations validate the efficiency of PQ-MISS in reducing communication overhead while improving the speed and reliability of data aggregation and verification. Comparative analysis demonstrates the proposed scheme's advantages over existing methods in computational cost, post-quantum security, and scalability, making it a robust solution for secure, intelligent, and future-ready FANET systems.