International Research Journal of Innovations in Engineering and Technology - IRJIET International Open Access, Monthly, Peer Reviewed, Reputed Journal ISSN (online): 2581-3048

Impact Factor (2025): 6.9

DOI Prefix: 10.47001/IRJIET

Quantum-Resistant Blockchain for Autonomous Cybersecurity Threat Mitigation in AI-Driven IoT Networks

Abstract

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.

Country : India

1 S.V.S. Ganga Devi2 Thavalam Nikitha3 Kundharupu Chinni Krishna

  1. Professor & Head, Department of C.S.E. (Cyber Security), Madanapalle Institute of Technology & Science, Madanapalle-517325, A.P, India
  2. UG Scholar, Department of C.S.E (Cyber Security), Madanapalle Institute of Technology & Science, Madanapalle-517325, A.P, India
  3. UG Scholar, Department of C.S.E (Cyber Security), Madanapalle Institute of Technology & Science, Madanapalle-517325, A.P, India

IRJIET, Volume 9, Special Issue of INSPIRE’25 April 2025 pp. 301-307

doi.org/10.47001/IRJIET/2025.INSPIRE49

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