Detection of phishing attacks in Iranian e-banking using a fuzzyrough hybrid system
Identifying outstanding phishing features that best fit the Iranian bank websites. Extracting a reduct of influential indicators in phishing detection for Iranian e-banking system using rough sets theory. Determining critical phishing detection rules and forming a flexible rule base for phishing detection. Building a fuzzyrough hybrid system as a core processing unit of phishing detection applications or web browser add-ons and extensions concentrated on Iranian e-banking. Applying the proposed system on Iranian phishing sites and achieving an efficiency of 88%.
phishing e-banking rough sets theory fraud detection fuzzy expert system