Abstract

One of the broadly used internet attacks to deceive customers financially in banks and agencies is unknown “zero-day” phishing Emails “zero-day” phishing Emails is a new phishing email that it has not been trained on old dataset, not included in black list. Accordingly, the current paper seeks to Detection and Prediction of unknown “zero-day” phishing Emails by provide a new framework called Phishing Evolving Neural Fuzzy Framework (PENFF) that is based on adoptive Evolving Fuzzy Neural Network (EFuNN). PENFF does the process of detection of phishing email depending on the level of features similarity between body email and URL email features. The totality of the common features vector is controlled by EFuNN to create rules that help predict the phishing email value in online mode. The proposed framework has proved its ability to detect phishing emails by decreasing the error rate in classification process. The current approach is considered a highly compacted framework. As a performance indicator; the Root Mean Square Error (RMSE) and Non-Dimensional Error Index (NDEI) has 0.12 and 0.21 respectively, which has low error rate compared with other approaches Furthermore, this approach has learning capability with footprint consuming memory.

Highlights

  • Such a type of threats, phishing e-mails, is used to steal sensitive and personal data or user's' account information from their computers

  • By Symantec Company report SYMANTIC, 2010, more than 95.1 billion phishing messages roughly sent in 2010, about 260 million phishing emails sent daily to customers or financial organizations. eCrime trends report is one of the newest reports depends on the anti phishing work group, which explain that phishing attacks increased 12% yearly

  • The two classes training and testing based on 10-Fold Cross Validation by randomly Method

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Summary

INTRODUCTION

Such a type of threats, phishing e-mails, is used to steal sensitive and personal data or user's' account information from their computers. It has become a serious e-crime that financially destructs those organization and agencies that their dealings, contacts, or money transactions with their customers are internetbased all over the world. Terminology speaking, the word phisher denotes the person who sends a phishing message to his/ her target for malicious intentions Such a message involves an embedded link that takes the users away into a fake website. ECrime trends report is one of the newest reports depends on the anti phishing work group , which explain that phishing attacks increased 12% yearly. Nine times more than the false negatives; the results indicated that there is no standard classifier for phishing

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