Cloud-Secure: An Investigation into Firefly and Grey Wolf Optimization Algorithms for Phishing Detection with Machine Learning Classifiers

This paper delves into the exploration of Firefly and Grey Wolf Optimization (GWO) algorithms, aiming to enhance phishing detection within the realm of cloud security. The primary focus lies in harnessing the potential of machine learning classifiers, such as Decision Trees, Random Forests, Support Vector Machines, and Neural Networks, and optimizing their functionality through the integration of Firefly and GWO algorithms. The research methodology spans various stages, encompassing data collection, preprocessing, feature engineering, machine learning model selection, integration of optimization algorithms, model parameter tuning, and comprehensive evaluation.