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作 者:J.Divakaran Arvind Chakrapani K.Srihari
机构地区:[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
出 处:《Computer Systems Science & Engineering》2023年第7期1141-1152,共12页计算机系统科学与工程(英文)
摘 要: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.
关 键 词:HANDOVER AUTHENTICATION mobility management fuzzy logic LATENCY 5G IoT MATLAB 3GPP
分 类 号:TN929.5[电子电信—通信与信息系统] TP393[电子电信—信息与通信工程]
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