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Intelligent Feature Subset Selection with Machine Learning Based Detection and Mitigation of DDoS Attacks in 5G Environment.

, , и . J. Interconnect. Networks, 22 (Supp-01): 2141032:1-2141032:24 (2022)

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Unified Performance and Availability Model for Call Admission Control in Heterogeneous Wireless Networks., , и . Int. J. Commun. Netw. Syst. Sci., 3 (4): 406-412 (2010)Call Admission Control for Next Generation Wireless Networks Using Higher Order Markov Model., , и . Computer and Information Science, 3 (1): 192-198 (2010)Call Admission Control Approaches in Beyond 3G Networks Using Multi Criteria Decision Making., , и . CICSyN, стр. 492-496. IEEE Computer Society, (2009)Call Admission Control performance model for Beyond 3G Wireless Networks, , и . CoRR, (2010)Recurrent neural network based BER prediction for NLOS channels., и . Mobility Conference, стр. 410-416. ACM, (2007)Neural Network Based Traffic Prediction for Wireless Data Networks., и . Int. J. Comput. Intell. Syst., 1 (4): 379-389 (2008)A Perspective on Estimation of Available Capacity in Wireless Networks., , и . MOBILWARE, том 48 из Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, стр. 451-461. Springer, (2010)A Perspective on Traffic Measurement Tools in Wireless Networks., , и . Wirel. Eng. Technol., 1 (1): 14-19 (2010)Energy efficient clustering and routing in a wireless sensor networks., и . FNC/MobiSPC, том 134 из Procedia Computer Science, стр. 178-185. Elsevier, (2018)Comprehensive call admission control tool for next generation wireless networks., , и . SDS, стр. 229-235. IEEE, (2018)