Detecting Phishing Email Based on Text Features Analysis
Peng Yin · Journal of Nanjing University of Posts and Telecommunications · 2012
A kind of phishing email detection based on text analysis is proposed.First,we deleted the non-text part of emails by email parsers.For the remaining part of the emails,we got the links and other contents,and extract ten features.According to the analysis of these features,the emails will be classified into ham and phishing by using machine learning method to train and forecast the emails.We improved the existed phishing detection which is based on the analysis of websites' links.By combining with the new trend of phishing email's development,we propose a method to extract some new features.The experiments shows that the proposed method demnonstrates a good performance in trems of recalling rate,false positive rate,and detection of phishing websites.