Fuzzy modelling using firefly algorithm for phishing detection

Noor Syahirah, Nordin and Mohd Arfian, Ismail and Mezhuyev, Vitaliy and Shahreen, Kasim and Mohd Saberi, Mohamad and Ashraf Osman, Ibrahim (2019) Fuzzy modelling using firefly algorithm for phishing detection. Advances in Science, Technology and Engineering Systems Journal, 4 (6). pp. 291-296. ISSN 2415-6698. (Published)

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A fuzzy system is a rule-based system that uses human experts’ knowledge to make a particular decision, while fuzzy modeling refers to the identification process of the fuzzy parameters. To generate the fuzzy parameters automatically, an optimization method is needed. One of the suitable methods provides the Firefly Algorithm (FA). FA is a nature-inspired algorithm that uses fireflies’ behavior to interpret data. This study explains in detail how fuzzy modeling works by using FA for detecting phishing. Phishing is an unsettled security problem that occurs in the world of internet connected computers. In order to experiment with the proposed method for the security threats, a database of phishing websites and SMS from different sources were used. As a result, the average accuracy for the phishing websites dataset achieved 98.86%, while the average value for the SMS dataset is 97.49%. In conclusion, both datasets show the best result in terms of the accuracy value for fuzzy modeling by using FA.

Item Type: Article
Additional Information: Indexed by Scopus
Uncontrolled Keywords: Fuzzy modeling; Firefly algorithm; Phishing detection
Subjects: Q Science > QA Mathematics > QA76 Computer software
T Technology > T Technology (General)
Faculty/Division: Institute of Postgraduate Studies
Faculty of Computing
Depositing User: Mrs Norsaini Abdul Samat
Date Deposited: 13 Nov 2020 07:01
Last Modified: 13 Nov 2020 07:01
URI: http://umpir.ump.edu.my/id/eprint/29847
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