IoT Edge Computing Security Framework Powered by LSA, MLKEM and GLSKM

IoT Edge Computing Security Framework Powered by LSA, MLKEM and GLSKM
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© 2025 by IJETT Journal
Volume-73 Issue-3
Year of Publication : 2025
Author : A. Anandhavalli, A. Bhuvaneswari
DOI : 10.14445/22315381/IJETT-V73I3P115

How to Cite?
A. Anandhavalli, A. Bhuvaneswari, "IoT Edge Computing Security Framework Powered by LSA, MLKEM and GLSKM," International Journal of Engineering Trends and Technology, vol. 73, no. 3, pp. 198-211, 2025. Crossref, https://doi.org/10.14445/22315381/IJETT-V73I3P115

Abstract
The Internet of Things (IoT) Edge computing represents a paradigm shift in data processing and analytics, where data processing occurs closer to the source of data generation rather than being transmitted to centralized cloud servers. This approach addresses several critical challenges in traditional IoT architectures, including latency, bandwidth consumption, security, and reliability. By leveraging edge devices-such as sensors, gateways, and local servers-IoT Edge enables real-time data analysis, rapid decision-making, and localized actions essential for applications requiring immediate responses. IoT Edge faces challenges such as the need for robust edge device management, scalability issues, and the requirement for sophisticated security measures to protect distributed data. A multi-security scheme-based framework titled “IoT Edge Computing Security Framework powered by LSA, MLKEM and GLSKM (IECSF)” is submitted here to address the current challenges in IoT wireless sensor network edge computing environments. Lightweight Security Algorithm, Masked Location-based Key Exchange Mechanism, and Game of Life-based Security Key Mechanism are the background works behind the IECSF method. The proposed IECSF method has three novel functional modules, namely Least Hop Cluster Manager, Intra Cluster Data Distributor, and Inter-Cluster Data Aggregator. Performance metrics such as Throughput, Latency, End-to-End Delay, Packet Delivery Rate, Security and Energy consumption of the proposed method are compared with the performance of the most recent existing works.

Keywords
Edge computing, Game-of-life based Security key exchange, Lightweight security, Masked location key, IoT, WSN.

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