Standard Rules Based Approach to Classify Phishing Websites
Phishing is emphatically an empowering hacking munitions stockpile for any software engineer. Phishing is the endeavour to extricate the most significant data, forexample, passwords, username and MasterCard data by taking on the appearance of adependable element in an electronic correspondence. Here we use the Rules ofData mining approach to identify the individual features of the websites based on the generating a training dataset from all the features of various websites, We finally use the machine learning techniques tool to perform classification on the combinations of the features results.
Pavan Kumar S.C, Anitha .G
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