Real-Time Phishing Detector Browser Extension - PHISHERMAN

Information Technology

Phishing is defined as imitative a worthy company’s website intent to take private information of a person. In order to eliminate phishing, different methods planned. However, only one single remedy cannot eliminate this danger completely. Data mining is a likely technique used to discover phishing attacks. In this paper, an clever system to detect phishing attacks is given. We used various data mining methods to resolve group of websites: authorized or phishing. Various classifiers were used in order to build faithful intelligent system for phishing website detection. Classification quality, area under receiver operative characteristic (ROC) curves (AUC) and F-measure is used to measure the operation of the data mining techniques. Results showed that Random Forest has carry out best among the classification methods by achieving the higher accuracy 97.36%. Random forest run-times are quite fast, and it can deal with various websites for phishing detection.

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