Phishing Websites Detection based on Metaheuristic Optimisation and Ensemble Algorithms

Key Points

• The aim is to develop effective methods for detecting phishing websites using advanced algorithms.
• Utilized metaheuristic optimisation techniques to improve detection accuracy.
• Applied ensemble algorithms to combine multiple detection methods for enhanced performance.
• Evaluated the effectiveness of the detection methods using real-world phishing datasets.
• Achieved a significant increase in detection rates compared to traditional methods.
• Demonstrated lower false positive rates, improving reliability for users.
• Highlighted the potential for implementation in real-time security systems.