<p>Because of the development of the Internet and the rapid increase of the electronic commercial, the incidents on stealing the consumers' personal identify data and financial account credentials are becoming more and more common. This phenomenon is called phishing. Now phishing is so popular that web sites such as papal , eBay, MSN, Best Buy, and America Online are frequently spoofed by phishers. What’s more, the amount of the phishing sites is increasing at a high rate.</p><p>The aim of the report is to analyze different phishing phenomenon and help the readers to identify phishing attempts. Another goal is to design an anti-phishing system which can detect the phishing e-mails and then perform some operations to protect the users. Since this is a big project, I will focus on the mail detecting part that is to analyze the detected phishing emails and extract details from these mails.</p><p>A list of the most important information of this phishing mail is extracted, which contains “mail subject”, “ mail received date”, “targeted user”, “the links”, and “expiration and creation date of the domain”. The system can presently extract this information from 40% of analyzed e-mails.</p>
| Identifer | oai:union.ndltd.org:UPSALLA/oai:DiVA.org:vxu-2089 |
| Date | January 2008 |
| Creators | Mei, Yuanxun |
| Publisher | Växjö University, School of Mathematics and Systems Engineering |
| Source Sets | DiVA Archive at Upsalla University |
| Language | English |
| Detected Language | English |
| Type | Student thesis, text |
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