Fuzzy modelling using butterfly optimization algorithm for phishing detection

Noor Syahirah, Nordin and Mohd Arfian, Ismail and Nurul Aswa, Omar (2020) Fuzzy modelling using butterfly optimization algorithm for phishing detection. International Journal of Advanced Trends in Computer Science and Engineering, 9 (1.5). pp. 1-6. ISSN 2278-3091. (Published)

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Fuzzy system is a rule-based system by using human experts which hold the truth values or membership values to make a particular decision while fuzzy modelling is a process of identifying the fuzzy parameter. However, it is difficult to generate fuzzy parameter manually when applied on complex problem. To generate the fuzzy parameter automatically, an optimization method is required and Butterfly Optimization Algorithm (BOA) is one of the good methods to be applied. The proposed method will be utilized to produce the optimal solution in finding fuzzy parameter before implementing the fuzzy technique in the dataset chosen. Two datasets were used, namely Website Phishing Dataset (WPD) and Phishing Websites Dataset (PWD). As the result, average accuracy for WPD and PWD is 96.80% and 94.65% respectively. To be conclude, BOA shows promising results to be applied to measure the accuracy of the fuzzy modelling in phishing detection.

Item Type: Article
Uncontrolled Keywords: Fuzzy; butterfly optimization algorithm; phishing detection
Subjects: Q Science > QA Mathematics
Q Science > QA Mathematics > QA76 Computer software
Faculty/Division: Institute of Postgraduate Studies
Faculty of Computing
Depositing User: Miss. Ratna Wilis Haryati Mustapa
Date Deposited: 08 Mar 2021 03:19
Last Modified: 08 Mar 2021 06:59
URI: http://umpir.ump.edu.my/id/eprint/30869
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