Detection Phishing Emails Using Features Decisive Values

Phishing emails are messages designed to fool the recipient into handing over personal information, such as login names, passwords, credit card numbers, account credentials, social security numbers etc. Fraudulent emails harm their victims through loss of funds and identity theft. They also hurt Internet business, because people lose their trust in Internet transactions for fear that they will become victims of fraud. This paper deals with the phishing detection problem and how to auto detect phishing emails. The proposed phishing detection model is based on the extracted email features to detect phishing emails, these features appeared in the header and HTML body of email. The developed model introduces statistical based parameters called features existence weight to decide whether the tested email is phishing or not. The results of the conducted testes indicated good identification rate (97.79%) with short required processing time (0.0004 msec.). Keywords— Phishing Attack, phishing Email, Fraud, Identity Theft