Skip to main content

COAT: Collaborative Outgoing Anti-spam Technique

  • Conference paper
Book cover Advances in Information Technology (IAIT 2012)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 344))

Included in the following conference series:

  • 1005 Accesses

Abstract

Spam and anti-spam techniques are part of email since its birth. Spam is electronic garbage with no anticipating recipient and almost always deleted. In 2010, around 89% of all emails were spam, resulting in an estimated 260 billion spam emails sent every single day. Most of the current anti-spamming systems focus on incoming spam but these messages still travel the internet world and waste bandwidth, storage and processing resources. This research proposes a collaborative outgoing anti-spam technique to reduce the spread of spam on the internet. The technique targets outgoing emails and its use would free the internet from 260 billion spam a day. During real-time experiment, it blocked 99.95% of the total spam generated with 99.57% elimination at sender side.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 39.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Klensin, J.: RFC 2821: Simple Mail Transfer Protocol. AT&T Laboratories (April 2001), http://www.ietf.org/rfc/rfc2821.txt

  2. Messaging Anti-Abuse Working Group: E-mail Metrics Program: The Network Operators’ Perspective. report no. 2 (June 2006), http://www.maawg.org/about/FINAL_1Q2006_Metrics_Report.pdf (retrieved July 30, 2010)

  3. MessageLabs intelligence Annual Security Report (2010), http://www.messagelabs.com/mlireport/MessageLabsIntelligence_2010_Annual_Report_FINAL.pdf (retrieved July 30, 2010)

  4. Prakash, V.V., O’Donnell, A.J.: Fighting Spam With Reputation Systems. ACM Queue 3(9), 36–41 (2005)

    Article  Google Scholar 

  5. Taylor, B.: Sender Reputation in a Large Webmail Service. In: 3rd Conference on Email and Anti-Spam (CEAS). Mountain View, CA (July 2006)

    Google Scholar 

  6. Haskins, R.: The Rise of Reputations in The Fight Against Spam, http://linuxworld.sys-con.com/read/48128.htm (retrieved July 30, 2010)

  7. Khorsi, A.: An Overview of Content-Based Spam Filtering Techniques. Informatica 31, 269–277 (2007)

    MATH  Google Scholar 

  8. Dietrich, J.C., Rossow, C.: Empirical Research on IP blacklisting. In: 5th Conference on Email and Antispam (CEAS). Mountain View, CA (August 2008)

    Google Scholar 

  9. Erickson, D., Casado, M., McKeown, N.: The Effectiveness of Whitelisting: A User-Study. In: 5th Conference on Email and Anti-Spam (CEAS). Mountain View, CA (August 2008)

    Google Scholar 

  10. Beverly, R., Sollins, K.: Exploiting Transport-Level Characteristics of Spam. In: 5th Conference on Email and Anti-Spam (CEAS). Mountain View, CA (August 2008)

    Google Scholar 

  11. Garriss, S., Kaminsky, M., Freedman, M.J., Karp, B., Mazieres, D., Yu, H.: Re: Reliable Email. In: 3rd Symposium on Networked Systems Design and Implementation, San Jose, California (May 2006)

    Google Scholar 

  12. Golbeck, J., Hendler, J.: Reputation Network Analysis for Email Filtering. In: Conference on Email and Anti-Spam (CEAS), Mountain View, California, USA (July 2004)

    Google Scholar 

  13. Meyer, T.A.: Whateley. B.: Spambayes: Effective Open-Source, Bayesian Based, Email Classification System. In: Conference on Email and Anti-Spam (CEAS), Mountain View, California, USA (July 2004)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2012 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Ahmad, A., Whitworth, B. (2012). COAT: Collaborative Outgoing Anti-spam Technique. In: Papasratorn, B., Charoenkitkarn, N., Lavangnananda, K., Chutimaskul, W., Vanijja, V. (eds) Advances in Information Technology. IAIT 2012. Communications in Computer and Information Science, vol 344. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-35076-4_2

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-35076-4_2

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-35075-7

  • Online ISBN: 978-3-642-35076-4

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics