A comparative analysis of metaheuristic algorithms in fuzzy modelling for phishing attack detection

• Main Authors: Nordin, Noor Syahirah, Ismail, Mohd. Arfian, Sutikno, Tole, Kasim, Shahreen, Hassan, Rohayanti, Zakaria, Zalmiyah, Mohamad, Mohd. Saberi
• Format: Article
• Language: English
• Published: Institute of Advanced Engineering and Science 2021
• Subjects: QA75 Electronic computers. Computer science
• Online Access: http://eprints.utm.my/id/eprint/94806/1/ZalmiyahZakaria2021_AComparativeAnalysisofMetaheuristicAlgorithms.pdf; http://eprints.utm.my/id/eprint/94806/; http://dx.doi.org/10.11591/ijeecs.v23.i2.pp1146-1158

Phishing attack is a well-known cyber security attack that happens to many people around the world. The increasing and never-ending case of phishing attack has led to more automated approaches in detecting phishing attack. One of the methods is applying fuzzy system. Fuzzy system is a rule-based sys...