An Approach to the Identification and Prediction of Phishing Websites Using Classification Algorithms Based on Web Pages Characteristics

An Approach to the Identification and Prediction of Phishing Websites Using Classification Algorithms Based on Web Pages Characteristics

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Today, the most important risk and challenge addressed in e-commerce and e-banking is the risk of online fraud and phishing attacks.Phishing attacks have been one of widely used tools for attackers to steal passwords and electronic codes of users in e-exchanges in cyberspace.In this type cocktail tree for sale of fraud, fraudulent or phisher sends emails with various claims to the victim and directs the victim to his fake pages by several different techniques.Then, he attempts to steal sensitive information of users such as passwords.Web pages, emails and phishing addresses have features that can be used to detect these attacks.

In this paper, an approach will be presented to identify and predict phishing web sites using classification algorithms based on web page features which has less error rate than other techniques to deal with phishing attacks, us polo assn mens sweaters especially the similar techniques based on data mining algorithms.In the proposed approach, the usable features in the detection of phishing pages are weighted based on the effect to detect these attacks and then a pattern will be elicited to identify these attacks by applying classification algorithms on the relevant datasets.our approach can detect journal phishing attacks and has low error rate than previous approaches.