Blockchain-Driven AI-Enhanced Post-Quantum Multivariate Identity-based Signature and Privacy-Preserving Data Aggregation Scheme for Fog-enabled Flying Ad-Hoc Networks

2026-04-20

AI Summary

This work addresses the challenges of security, privacy, and resource constraints in fog computing–enabled flying ad hoc networks (FANETs) under quantum threats by proposing a novel key management framework that integrates blockchain and artificial intelligence. The framework uniquely combines post-quantum multivariate identity-based signatures, zero-knowledge proofs, and a hierarchical blockchain consensus mechanism to enable efficient and secure key establishment, privacy-preserving data aggregation, and integrity verification. It further leverages a fog–cloud协同 architecture to support intelligent data analytics. NS-3 simulations demonstrate that, compared to existing approaches, the proposed method significantly reduces communication overhead and enhances the efficiency of data aggregation and verification, offering distinct advantages in computational cost, quantum resistance, and scalability.

Technology Category

• Machine Learning: Quantum Machine Learning
• Multiagent Systems: Other Foundations of Multi Agent Systems
• Philosophy and Ethics of AI: Privacy & Security

Application Category

• Security and Privacy: Data transparency and provenance
• Systems and Infrastructure for Web, Mobile and WoT: Federated Web and WoT systems, including distributed, federated and edge-based data processing
• Semantics and Knowledge: Provenance, trust, security and privacy, and ethical issues in managing semantic data

Abstract

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.

Problem

• Flying Ad-Hoc Networks
• Post-Quantum Security
• Privacy-Preserving Data Aggregation
• Identity-based Signature
• Quantum Threats

Innovation

• Post-Quantum Cryptography
• Multivariate Identity-Based Signature
• Privacy-Preserving Aggregation
• Blockchain-AI Integration
• Fog-enabled FANETs