A Hybrid Blockchain - AI Model for Secure Identity Management and Cryptographic Key Distribution in Large-Scale IoD Networks

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Authors: Anamika Dixit, Seema Premnath Dhande
Cited by: 0

Abstract

Large and distributed Internet-of-Drones (IoD) ecosystems are increasingly deployed for surveillance, logistics, agricultural monitoring, disaster response, and defense. As deployments grow to thousands of drones across heterogeneous trust domains, traditional Public Key Infrastructure (PKI) architectures struggle to deliver decentralization, mobility-aware trust, and quantum-resilient keying (Awasthi et al., 2023; Alshahrani & Alghamdi, 2024). This paper presents H-BAIKD, a Hybrid Blockchain?AI Keying and Identity Distribution framework that integrates decentralized identity, hybrid post-quantum cryptography, federated anomaly detection, and reinforcement-learning-based adaptive key lifecycle management. The architecture mitigates impersonation, Sybil, replay, GPS spoofing, data-poisoning, and quantum-era cryptanalytic threats (Jiang et al., 2025; McKeen et al., 2024). Comprehensive evaluations using ns-3, Hyperledger Fabric, and the OpenQuantumSafe suite demonstrate significant improvements in authentication latency, post-quantum performance, trust propagation, and resilience under adversarial conditions. The results indicate that integrating blockchain, PQC, and AI offers a critical security foundation for next-generation IoD swarms operating in dynamic, resource-constrained, and hostile environments.

Fields of Study & Subjects

Blockchain Technology Applications and Security Advanced Authentication Protocols Security Cryptography and Data Security

Publication details

Journal / source
International Journal of Science and Research (IJSR)
Pages
270–276
Publication date
5 March 2026
Language
EN