Adaptive Lightweight Cryptography for IoT Using Kalman Filter and Genetic Algorithm: A Review Paper

Registration ID: IJNRD_312928

Published ID: IJNRD2602351

: https://doi.org/10.56975/ijnrd.v11i2.312928

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Rajni, Dr.Sonia, Dr. Harpreet Kaur Mavi

Internet of Things, Kalman Filter, Genetic Algorithm, Lightweight Cryptography, Advanced Encryption Standard

The fast growth of the Internet of Things (IoT) has enabled large-scale interconnection of smart devices across domains such as healthcare, smart homes, industrial automation, and intelligent transportation systems. However, ensuring secure communication in IoT environments is still a major problem because of limited computational capability, memory capacity, and energy resources of IoT devices. Conventional cryptographic algorithms provide strong security but are often unsuitable for resource-constrained platforms because of their high computational and energy requirements. Lightweight cryptography offers an efficient alternative; nevertheless, existing schemes frequently rely on static configurations and lack adaptability to dynamic network conditions and noise-prone wireless environments. This paper proposes an adaptive and energy-efficient security framework that integrates lightweight cryptography with Kalman Filtering (KF) and a Genetic Algorithm (GA). The KF is used to reduce communication noise and enhance data reliability through real-time state estimation, while the Genetic Algorithm dynamically optimizes cryptographic parameters such as key size and structural configurations to balance security strength and resource utilization. By combining noise reduction, adaptive parameter tuning, and lightweight encryption combined in a single system design, the proposed approach enhances communication reliability, security robustness, and energy efficiency. The framework is designed to meet the practical requirements of real-world IoT deployments and demonstrates strong potential for secure and scalable IoT communication systems.

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Rajni, Dr.Sonia, & Dr. Harpreet Kaur Mavi (February-2026). Adaptive Lightweight Cryptography for IoT Using Kalman Filter and Genetic Algorithm: A Review Paper. INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT, 11(2), d327-d331. https://doi.org/10.56975/ijnrd.v11i2.312928

Volume 11 Issue 2, February-2026

Pages : d327-d331

Paper Reg. ID: IJNRD_312928

Published Paper Id: IJNRD2602351

Research Area: Other area not in list

Author Type: Indian Author

Country: Village Balliewal, Dist. Ludhiana, Punjab, India

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Crossref DOI: https://doi.org/10.56975/ijnrd.v11i2.312928

Journal Name: INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT(IJNRD)

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