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All Journal Indonesian Journal of Electrical Engineering and Computer Science
ABM Kabir Hossain
Bangladesh Army University of Engineering and Technology

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Vote algorithm based probabilistic model for phishing website detection Md. Sazzadul Islam Islam Prottasha; Md. Zihadur Rahman; ABM Kabir Hossain; Samia Ferdous Mou; Md. Bulbul Ahmed; M. Shamim Kaiser
Indonesian Journal of Electrical Engineering and Computer Science Vol 28, No 3: December 2022
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v28.i3.pp1582-1591

Abstract

Internet scams have been a major concern for everyone over the past decade. With the advancement of technology, attackers have formulated different kinds of contemporary fraudulent procedures to obtain user’s sensitive information. Phishing is one of the oldest and common fraudulent attempts by which every year millions of internet users fall victim to scams resulting in losing their money. Different techniques and algorithms have been proposed by researchers in detecting phishing websites. However, the detection of phishing websites has few challenges since there are different subjective considerations and ambiguities involved in the detection process. This paper presents a two-stage probabilistic method for detecting phishing websites based on the vote algorithm. In the first stage, 29 different base classifiers have been used and their probabilistic values were calculated. In the second stage, the voting algorithm aggregated the probabilistic values of several base classifiers and the phishing websites were detected using the average of probabilities approach. The voting technique achieved an accuracy of 97.431% outperforming all of the single base classifiers in terms of accuracy.
Co-Authors M. Shamim Kaiser Md. Bulbul Ahmed Md. Sazzadul Islam Islam Prottasha Md. Zihadur Rahman Samia Ferdous Mou