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Phishing Website Detection using Intelligent Data Mining Techniques   Maher Aburrous,Alamgir Hossain and Keshav Dahal

Phishing Website Detection using Intelligent Data Mining Techniques

192 страниц. 2012 год.
LAP Lambert Academic Publishing
Detecting phishing website is a complex task which requires significant expert knowledge and experience. So far, various solutions have been proposed and developed to address these problems. Most of these approaches are not able to make a decision dynamically, giving rise to a large number of false positives. This is mainly due to limitation of the previously proposed approaches. In this book, we investigate and develop the application of an intelligent fuzzy-based classification system for phishing website detection. The proposed intelligent phishing detection system employed Fuzzy Logic (FL) model with association classification mining algorithms. Different phishing experiments which cover all phishing attacks, motivations and deception behavior techniques have been conducted to cover all phishing concerns. A comparative study and analysis showed that the proposed learning approach has a higher degree of predictive and detective capability than existing models. The proposed system...
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