SPAM MAIL FILTERING SYSTEM VIA LINK STRUCTURE ANALYSIS OF E-MAIL

摘要

The invention the number and the hyperlinks in the hyperlinks that after the web document hyperlinks (Hyper-Link) exists in the e-mail indicating measures the number of times (link) incorporated by any of the other web documents, present in the E-mail link and a number of other Web documents that cite the qualities after a machine learning to classify spam.; Also, after only one machine learning and qualifications to host part of the URL in the email hyperlink to the spam classification. After the addition of machine learning to analyze information based on the analysis of these emails with hyperlinks integrate email content analysis to further increase the efficiency of spam filtering.