MUMBAI, India, Aug. 10 -- Intellectual Property India has published a patent application (202641091708 A) filed by Madhankumar C; Dr. G. Rajesh - Vignan'S Institute Of Management And Technology For Women; Mr. S. Santhosh Kumar - Vignan'S Institute Of Management And; Mrs. G. Anitha - Vignan'S Institute Of Management And Technology For Women; Ms. Samreen Begum - Vignan'S Institute Of Management And Technology; and Mrs. D. Vaishnavi - Vignan'S Institute Of Management And Technology For on July 29, 2026, for Side-Channel-Resilient Post-Quantum Key Exchange On Resource-Constrained Iot Using Masked Kyber.
Inventors include Dr. G. Rajesh - Vignan'S Institute Of Management And Technology For; Mr. S. Santhosh Kumar - Vignan'S Institute Of Management And; Mrs. G. Anitha - Vignan'S Institute Of Management And Technology For; Ms. Samreen Begum - Vignan'S Institute Of Management And Technology For Women; and Mrs. D. Vaishnavi - Vignan'S Institute Of Management And Technology For Women.
The application for the patent was published on July 31, 2026, under issue no. 31/2026.
Abstract: Side-Channel-Resilient Post-Quantum Key Exchange On Resource Constrained IoT Using Masked Kyber Abstract The rapid proliferation of Internet of Things (IoT) devices in critical applications such as smart healthcare, industrial automation, smart grids, and intelligent transportation has significantly increased the demand for secure and future-proof communication mechanisms. Conventional public-key cryptographic algorithms, including RSA and Elliptic Curve Cryptography (ECC), are vulnerable to attacks from quantum computers, while resource-constrained IoT devices remain highly susceptible to side-channel attacks such as power analysis, electromagnetic leakage, and timing attacks. To address these security challenges, this invention proposes a Side-Channel-Resilient Post-Quantum Key Exchange on Resource-Constrained IoT Using Masked Kyber, a lightweight cryptographic framework that combines the quantum-resistant Kyber Key Encapsulation Mechanism (KEM) with advanced masking techniques to provide secure and efficient key exchange for low-power embedded devices. The proposed framework implements a masked version of the CRYSTALS Kyber algorithm, where sensitive intermediate computations are randomized using first-order and higher-order masking schemes to prevent information leakage through power consumption, timing variations, cache behavior, and electromagnetic emissions. Lightweight random number generation, secure entropy collection, and optimized polynomial arithmetic are integrated to ensure robust cryptographic operations while minimizing computational overhead. The system incorporates hardware-assisted security features, including secure memory isolation, protected key storage, and constant-time execution, to further mitigate implementation-level vulnerabilities. An adaptive cryptographic optimization engine dynamically adjusts masking complexity, memory allocation, and processing parameters according to device capabilities, battery status, and application security requirements, enabling efficient deployment across diverse IoT platforms. Artificial Intelligence-based anomaly detection continuously monitors device behavior to identify abnormal cryptographic execution patterns indicative of fault injection or side- channel attacks. A Large Language Model (LLM)-based cybersecurity reasoning engine interprets security logs, cryptographic events, and device telemetry to generate explainable threat assessments, security recommendations, and automated compliance reports for administrators. The framework supports secure mutual authentication, encrypted communication, firmware update protection, and scalable key management across heterogeneous IoT networks while remaining compatible with emerging post-quantum cryptographic standards. Experimental evaluations demonstrate that the proposed masked Kyber implementation significantly improves resistance against differential power analysis, correlation power analysis, electromagnetic attacks, and timing attacks while maintaining low computational complexity, reduced memory consumption, and energy-efficient performance suitable for resource-constrained IoT devices. By integrating post-quantum cryptography, side-channel protection, intelligent optimization, and explainable security analytics within a unified architecture, the proposed invention provides a robust, scalable, and future-ready security solution for next-generation IoT ecosystems in the quantum computing era.
Disclaimer: Curated by HT Syndication.
