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11th International Symposium on Telecommunication (IST'2024)
Detection of Phishing Attacks in Iranian E-Banking Websites Using a Neuro-Fuzzy System
Authors :
Yeganeh Sattari
1
GholamAli Montazer
2
1- Tarbiat Modares University
2- Tarbiat Modares University
Keywords :
E-banking،Cybersecurity،Phishing،Neuro-Fuzzy System،ANFIS
Abstract :
The increasing accessibility of the Internet and the rise of e-commerce have led to a significant surge in online transactions facilitated by payment gateways. However, this convenience has also increased users' vulnerability to cyberattacks, particularly phishing, where users are tricked into revealing sensitive information. To address this issue, this paper proposes an automatic phishing detection system using the Adaptive Network-based Fuzzy Inference System (ANFIS) and five key features from websites. The proposed system was evaluated using a dataset of 102 Iranian payment gateways, achieving high performance metrics with an accuracy of 99%, precision of 99%, recall of 99.1%, and an F1-score of 98.99%. The model outperforms similar approaches by requiring fewer features, thereby enhancing response speed. The methodology includes selecting relevant features, applying ANFIS, and validating the model's performance through rigorous testing.
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