Welcome to the InfoSci Platform
Reference Hub2
Spam Classification Based on E-Mail Path Analysis

Spam Classification Based on E-Mail Path Analysis

Srikanth Palla, Ram Dantu, João W. Cangussu
Copyright: © 2008 |Volume: 2 |Issue: 2 |Pages: 24
ISSN: 1930-1650|EISSN: 1930-1669|ISSN: 1930-1650|EISBN13: 9781615203260|EISSN: 1930-1669|DOI: 10.4018/jisp.2008040104
Cite Article Cite Article

MLA

Palla, Srikanth, et al. "Spam Classification Based on E-Mail Path Analysis." IJISP vol.2, no.2 2008: pp.46-69. http://doi.org/10.4018/jisp.2008040104

APA

Palla, S., Dantu, R., & Cangussu, J. W. (2008). Spam Classification Based on E-Mail Path Analysis. International Journal of Information Security and Privacy (IJISP), 2(2), 46-69. http://doi.org/10.4018/jisp.2008040104

Chicago

Palla, Srikanth, Ram Dantu, and João W. Cangussu. "Spam Classification Based on E-Mail Path Analysis," International Journal of Information Security and Privacy (IJISP) 2, no.2: 46-69. http://doi.org/10.4018/jisp.2008040104

Export Reference

Mendeley
Favorite Full-Issue Download

Abstract

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 emails’ content. However, most spammers obfuscate their emails’ 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 emails’ 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.

Request Access

You do not own this content. Please login to recommend this title to your institution's librarian or purchase it from the IGI Global bookstore.