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Tutorial and critical analysis of phishing websites methods., , and . Comput. Sci. Rev., (2015)A dynamic self-structuring neural network model to combat phishing., , and . IJCNN, page 4221-4226. IEEE, (2016)An ensemble self-structuring neural network approach to solving classification problems with virtual concept drift and its application to phishing websites.. University of Huddersfield, UK, (2016)British Library, EThOS.Machine Learning-Based Detection for Unauthorized Access to IoT Devices., , , , , , and . J. Sens. Actuator Networks, 12 (2): 27 (April 2023)An improved rule induction based denial of service attacks classification model., , , and . Comput. Secur., (2020)Intelligent Techniques for Detecting Network Attacks: Review and Research Directions., , , , , , , , , and . Sensors, 21 (21): 7070 (2021)Intelligent rule-based phishing websites classification., , and . IET Inf. Secur., 8 (3): 153-160 (2014)Improved Multi-Verse Optimizer Feature Selection Technique With Application To Phishing, Spam, and Denial Of Service Attacks., , , , and . Int. J. Commun. Networks Inf. Secur., (2021)Prediction of Coronary Heart Disease using Machine Learning: An Experimental Analysis., , , and . ICDLT, page 51-56. ACM, (2019)Exploring Cyber Security Measures in Smart Cities., and . ACIT, page 1-7. IEEE, (2020)