Research of the Anti-phishing Technology Based on E-mail Extraction and Analysis

In this paper, an anti-phishing technique based on e-mail extraction and analysis is proposed. The technique approached with phishing email, the channel phishing attack transmits, distinguish phishing emails and extract the suspicious URL from the e-mail for further analysis. Upon arrival, a protected list is built according to those third parties which are the most vulnerable to phishers in order to filter those confusing advertising spams in China and a neural network based model is proposed in order to detecting phishing messages from an e-mail stream. In this anti-phishing technique, email stream captured by our honey pot subsystem from the Internet is parsed into a MIME email firstly, various feathers are extracted from the email and outputted into feather vectors. The feature vectors will be self-organized by ART2 neural network one by one and classified into corresponding categories. Link URLs in the suspected emails' messages will be extracted for further detection in phishing site subsystem. Experiment using collected emails shows a good performance aiming at detecting phishing emails in China while foreign method performs badly in distinguishing phishing emails from spam.