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DT-ARO: Decision Tree-Based Artificial Rabbits Optimization to Mitigate IoT Botnet Exploitation.

, , , , and . J. Netw. Syst. Manag., 32 (1): 14 (March 2024)

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Evaluation of machine learning algorithms for intrusion detection system., , , and . SISY, page 277-282. IEEE, (2017)Cyber-Phishing Website Detection Using Fuzzy Rule Interpolation., , , and . Cryptogr., 6 (2): 24 (2022)Fuzzy Rule Interpolation Methods and Fri Toolbox., , and . CoRR, (2019)Some Considerations and a Benchmark Related to the CNF Property of the Koczy-Hirota Fuzzy Rule Interpolation., and . CoRR, (2019)Fuzzy Rule Interpolation and Benchmark System. University of Miskolc, Hungary, (2021)Comparative Analysis of Fuzzy Rule Interpolation Techniques Across Various Scenarios Using a Set of Benchmarks., , , , and . IEEE Access, (2024)Evaluation of Machine Learning Algorithms for Intrusion Detection System., , , and . CoRR, (2018)DT-ARO: Decision Tree-Based Artificial Rabbits Optimization to Mitigate IoT Botnet Exploitation., , , , and . J. Netw. Syst. Manag., 32 (1): 14 (March 2024)Investigating The Piece-Wise Linearity And Benchmark Related To Koczy-Hirota Fuzzy Linear Interpolation., and . CoRR, (2019)Interpolative fuzzy reasoning method based on the incircle of a generalized triangular fuzzy number., and . J. Intell. Fuzzy Syst., 39 (1): 709-729 (2020)