A hybridization of butterfly optimization algorithm and harmony search for fuzzy modelling in phishing attack detection

Noor Syahirah, Nordin and Mohd Arfian, Ismail (2023) A hybridization of butterfly optimization algorithm and harmony search for fuzzy modelling in phishing attack detection. Neural Computing and Applications, 35 (7). pp. 5501-5512. ISSN 0941-0643. (Published)

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Abstract

Fuzzy system is one of the most used systems in the decision-making and classification method as it is easy to understand because the way this system works is closer to how humans think. It is a system that uses human experts to hold the membership values to make decisions. However, it is hard to determine the fuzzy parameter manually in a complex problem, and the process of generating the parameter is called fuzzy modelling. Therefore, an optimization method is needed to solve this issue, and one of the best methods to be applied is Butterfly Optimization Algorithm. In this paper, BOA was improvised by combining this algorithm with Harmony Search (HS) in order to achieve optimal results in fuzzy modelling. The advantages of both algorithms are used to balance the exploration and exploitation in the searching process. Two datasets from UCI machine learning were used: Website Phishing Dataset and Phishing Websites Dataset. As a result, the average accuracy for WPD and PWD was 98.69% and 98.80%, respectively. In conclusion, the proposed method shows promising and effective results compared to other methods.

Item Type:	Article
Additional Information:	Indexed by Scopus
Uncontrolled Keywords:	Butterfly optimization algorithm; Fuzzy; Harmony search; Phishing detection
Subjects:	Q Science > QA Mathematics > QA75 Electronic computers. Computer science Q Science > QA Mathematics > QA76 Computer software T Technology > T Technology (General) T Technology > TA Engineering (General). Civil engineering (General)
Faculty/Division:	Institute of Postgraduate Studies Faculty of Computing
Depositing User:	Mr Muhamad Firdaus Janih@Jaini
Date Deposited:	28 May 2024 07:59
Last Modified:	28 May 2024 07:59
URI:	http://umpir.ump.edu.my/id/eprint/40776
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