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

S.V.S. Ganga DeviProfessor & Head, Department of C.S.E. (Cyber Security), Madanapalle Institute of Technology & Science, Madanapalle-517325, A.P, IndiaThavalam NikithaUG Scholar, Department of C.S.E (Cyber Security), Madanapalle Institute of Technology & Science, Madanapalle-517325, A.P, IndiaKundharupu Chinni KrishnaUG Scholar, Department of C.S.E (Cyber Security), Madanapalle Institute of Technology & Science, Madanapalle-517325, A.P, India

Vol 9 No 25 (2025): Volume 9, Special Issue of INSPIRE’25 April 2025 | Pages: 301-307

International Research Journal of Innovations in Engineering and Technology

OPEN ACCESS | Research Article | Published Date: 24-04-2025

doi Logo doi.org/10.47001/IRJIET/2025.INSPIRE49

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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.

Keywords

Quantum-Resistant Blockchain, Post-Quantum Cryptography, AI-Driven IoT, Cybersecurity, TLS, AES, IDS, RBAC, Digital Signatures, Secure Storage, Real-Time Monitoring


Citation of this Article

S.V.S. Ganga Devi, Thavalam Nikitha, & Kundharupu Chinni Krishna. (2025). Quantum-Resistant Blockchain for Autonomous Cybersecurity Threat Mitigation in AI-Driven IoT Networks. In proceeding of International Conference on Sustainable Practices and Innovations in Research and Engineering (INSPIRE'25), published by IRJIET, Volume 9, Special Issue of INSPIRE’25, pp 301-307. Article DOI https://doi.org/10.47001/IRJIET/2025.INSPIRE49

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