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

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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.

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Data availability

BOA java code used to support this study is available in ResearchGate with identifier https://doi.org/10.13140/RG.2.2.29675.6992. Datasets from the University of California, Irvine (UCI) can be freely accessed on their official website linked http://archive.ics.uci.edu/ml/.

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Funding

This study was supported by Fundamental Research Grant (FRGS) with FRGS/1/2022/ICT02/UMP/02/2 (RDU220134) from the Ministry of Higher Education Malaysia, and by Fundamental Research Grant (RDU) with vot No. RDU220304 from Universiti Malaysia Pahang.

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Authors and Affiliations

  1. Faculty of Computing, Universiti Malaysia Pahang, 26300, Pekan, Malaysia

    Noor Syahirah Nordin & Mohd Arfian Ismail

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  1. Noor Syahirah Nordin
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Correspondence to Mohd Arfian Ismail.

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Nordin, N.S., Ismail, M.A. A hybridization of butterfly optimization algorithm and harmony search for fuzzy modelling in phishing attack detection. Neural Comput & Applic 35, 5501–5512 (2023). https://doi.org/10.1007/s00521-022-07957-0

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