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Fuzzy Logic Based Handover Authentication in 5g Telecommunication Heterogeneous Networks

J. Divakaran1,*, Arvind Chakrapani2, K. Srihari3

1 Vivekanandha College of Engineering for Women, Tiruchengode, Namakkal, 637205, Tamilnadu, India
2 Karpagam College of Engineering, Coimbatore, 641032, Tamilnadu, India
3 SNS College of Technology, Coimbatore, 641035, Tamilnadu, India

* Corresponding Author: J. Divakaran. Email: email

Computer Systems Science and Engineering 2023, 46(1), 1141-1152. https://doi.org/10.32604/csse.2023.028050

Abstract

Under various deployment circumstances, fifth-generation (5G) telecommunications delivers improved network compound management with fast communication channels. Due to the introduction of the Internet of Things (IoT) in data management, the majority of the ultra-dense network models in 5G networks frequently have decreased spectral efficiency, weak handover management, and vulnerabilities. The majority of traditional handover authentication models are seriously threatened, making them vulnerable to a variety of security attacks. The authentication of networked devices is the most important issue. Therefore, a model that incorporates the handover mechanism and authentication model must be created. This article uses a fuzzy logic model to create a handover and key management system that focuses on cloud handover management and authentication performance. In order to decrease delays in 5G networks, the fuzzy logic is built with multiple criteria that aim to reduce the number of executed handovers and target cell selection. The simulation is run to evaluate the model’s performance in terms of latency, spatial complexity, and other metrics related to authentication attack validation.

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Cite This Article

J. Divakaran, A. Chakrapani and K. Srihari, "Fuzzy logic based handover authentication in 5g telecommunication heterogeneous networks," Computer Systems Science and Engineering, vol. 46, no.1, pp. 1141–1152, 2023. https://doi.org/10.32604/csse.2023.028050



cc This work is licensed under a Creative Commons Attribution 4.0 International License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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