Abstract
Greylisting is a method for protection against unsolicited electronic mail messages (SPAM) based on the combination of white lists and temporary deferring of incoming messages from new sources. The idea is quite simple and the method proved to be surprisingly efficient but there are some issues to be concerned with. One of the most important issues is possible efficiency decay through a long-term period. Therefore the investigation of the efficiency of the method throughout longer period was done Also various other factors of the greylisting method application were studied and are discussed.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Associated Press, “Study: spam costs businesses $13 billion.” January 2003. [online] <http://www.cnn.com/2003/TECH/biztech/01/03/spam.costs.ap/index.html> [2008-10-15]
Chih-Ping Wei, Hsueh-Ching Chen, Tsang-Hsiang Cheng, “Effective spam filtering: A single-class learning and ensemble approach.” Decision Support Systems, Vol. 45, Issue 3, June 2008, pp. 491-503
J.R. Méndez, D. Glez-Peña, F. Fdez-Riverola, F. Díaz, J.M. Corchado, “Managing irrelevant knowledge in CBR models for unsolicited e-mail classification.” Expert Systems with Applications, Vol. 36, Issue 2, Part 1, March 2009, pp. 1601-1614
G. Sakkis, I. Androutsopoulos, G. Paliouras, V. Karkaletsis, C.D. Spyropoulos, P. Stamatopoulos, A memory-based Approach to anti-spam filtering for mailing lists. Information Retrieval, 6, 2003, pp. 49-73
J. Carpinter and R. Hunt, “Tightening the net: A review of current and next generation spam filtering tools” Computers & Security 25 (2006), pp. 566 – 578
E. Harris, The next step in the spam control war: greylisting. 2003. [online] <http://projects.puremagic.com/greylisting/whitepaper.html> [2008-10-15]
M. R. Islam, W. Zhou, M. Guo and Y. Xiang, “An innovative analyser for multi-classifier e-mail classification based on grey list analysis.” Journal of Network and Computer Applications. 2008, In press.
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2010 Springer Science+Business Media B.V.
About this paper
Cite this paper
Sochor, T. (2010). Greylisting method analysis in real SMTP server environment – Case-study. In: Sobh, T. (eds) Innovations and Advances in Computer Sciences and Engineering. Springer, Dordrecht. https://doi.org/10.1007/978-90-481-3658-2_74
Download citation
DOI: https://doi.org/10.1007/978-90-481-3658-2_74
Published:
Publisher Name: Springer, Dordrecht
Print ISBN: 978-90-481-3657-5
Online ISBN: 978-90-481-3658-2
eBook Packages: EngineeringEngineering (R0)