01454nas a2200157   4500008004100000245005400041210005300095260001000148300001000158490000600168520100500174100002001179700001501199700002001214856006201234       2008                        eng d00aSpam Classification Based on E-Mail Path Analysis0 aSpam Classification Based on EMail Path Analysis  cApril  a46-690 v23 a<p>Email spam is the most effective form of online advertising. Unlike telephone marketing, email spamming does not require huge human or financial resources investment. Most existing spam filtering techniques concentrate on the emailsâ€™ content. However, most spammers obfuscate their emailsâ€™ content to circumvent content-based spam filters. An integrated solution for restricting spam emails is needed as content analyses alone might not provide a solution for filtering unsolicited emails. Here we present a new method for isolating unsolicited emails. Though spammers obfuscate their emailsâ€™ content, they do not have access to all the fields in the email header. Our classification method is based on the path an email traverses instead of content. Overall, our classifier produced fewer false positives when compared to current filters such as SpamAssassin. We achieved a precision of 98.65% which compares well with the precisions achieved by SPF, DNSRBL blacklists.</p>
1 aPalla, Srikanth1 aDantu, Ram1 aCangussu, João  uhttps://ideas.repec.org/a/igg/jisp00/v2y2008i2p46-69.html