Quantum-Resistant Blockchain for Autonomous Cybersecurity Threat Mitigation in AI-Driven IoT Networks
S.V.S. Ganga Devi, Thavalam Nikitha, Kundharupu Chinni Krishna · International Research Journal of Innovations in Engineering and Technology · 2025
The fast growth of IoT networks and the rise in cyberattacks have created a need for strong security systems. This paper presents a simple and effective framework called Quantum-Resistant Blockchain to protect AI-powered IoT networks. The framework uses Post-Quantum Cryptography (PQC) to keep data safe from future quantum computer attacks. It also uses TLS for secure communication and AES for storing data safely. To detect threats, it has an Intrusion Detection System (IDS) and checks device behavior for anything unusual. Access to important data is controlled by Role-Based Access Control (RBAC) using a Django app. Real-time monitoring and regular software updates add extra layers of security. Tests show that the system detects cyber threats with 95% accuracy, has quick blockchain transactions, and works well with current IoT systems. This research offers a strong, scalable, and future-proof solution to keep IoT networks safe.