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A comparison of machine learning techniques for file system forensics analysis., and . J. Inf. Secur. Appl., (2019)Predicting phishing websites based on self-structuring neural network., , and . Neural Comput. Appl., 25 (2): 443-458 (2014)A dynamic self-structuring neural network model to combat phishing., , and . IJCNN, page 4221-4226. IEEE, (2016)Enhancing the blockchain voting process in IoT using a novel blockchain Weighted Majority Consensus Algorithm (WMCA)., and . Inf. Secur. J. A Glob. Perspect., 31 (2): 125-143 (2022)Classifying the Mortality of People with Underlying Health Conditions Affected by COVID-19 Using Machine Learning Techniques., , , , and . Appl. Comput. Intell. Soft Comput., (2022)Hybrid Brain Storm Optimization algorithm and Late Acceptance Hill Climbing to solve the Flexible Job-Shop Scheduling Problem., , , , , and . J. King Saud Univ. Comput. Inf. Sci., 34 (6 Part A): 2926-2937 (2022)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.Intelligent rule-based phishing websites classification., , and . IET Inf. Secur., 8 (3): 153-160 (2014)Intrusion detection using Highest Wins feature selection algorithm., and . Neural Comput. Appl., 33 (16): 9805-9816 (2021)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)