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AI-Enhanced Encryption Key Rotation for Future Internet Security
S Sathyakala
Assistant Professor, Department of Management studies, Sona college of technology, Salem, Tamil Nadu, India
Harwant Singh Arri
Professor, Department of Computer Science and Engineering, Lovely Professional University, India.
Keywords:
AI-driven security, encryption key rotation, post-quantum cryptography,
blockchain-based key management, IoT security, TinyML optimization, trust evaluation,
future Internet security, reinforcement learning, secure communication.
Abstract
The intensive development of the Internet of things and future Internet space has contributed to the heightened necessity of smart and safe key management systems. Conventional fixed-point rotation of keys is no more useful in countering adaptive cyberattacks and future quantum threats. The framework suggested in this paper is the AI Improved Encryption Key Rotation Framework, which incorporates the concepts of hybrid artificial intelligence, post-quantum cryptography, blockchain-powered management of key lifecycle, and lightweight TinyML optimization. The system automatically determines the time to switch or enhance the encryption keys depending on the network conditions, level of trust and the threats. Results of the experimental work demonstrate that there are substantial improvements in authentication latency, energy consumption, generation of key and scalability as well as failure against attacks against the traditional and RL-only approach. In general, the suggested framework is a future-proof, secure, and efficient way of securing the heterogeneous IoT systems and next generation communication networks.
Details
Published
2025-09-22
Pages
1-12
Issue
Vol. 4 No. 3 (2025):
IJRTTE - 04 - 03
Section
Articles