Detection of Spammers in the Origin Network
Abstract
The volume of unsolicited messages (spam) sent over the Internet represents more than 85% of all e-mails. Even with the evolution of the filtering techniques such as the analysis of the message content and the blocking of IPs, network resources are wasted given that such a filtering is usually performed at the e-mail destination server. This paper proposes a method for detecting spammers in the origin network using a supervised classification technique with metrics which do not require inspection of message contents. Results show that the adopted method is efficient, being able to correctly identify most spammers still in the origin network, saving network resources.References
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Gomes, L. H., Cazita, C., Almeida, J. M., Almeida, V., e Jr., W. M. (2007). Workload Models of Spam and Legitimate E-mails. Performance Evaluation, 64(7-8):690–714.
Guerra, P. H. C., Pires, D. E. V., Guedes, D., Jr., W. M., Hoepers, C., e Steding-Jessen, K. (2008). A Campaign-based Characterization of Spamming Strategies. Em Proceedings of the Fifth Conference on Email and Anti-Spam, pág. 1–10, Mountain View, CA, USA.
John, J., Moshchuk, A., Gribble, S. D., e Krishnamurthy, A. (2009). Studying Spamming Botnets Using Botlab. Em 6th USENIX Symp. on Networked Systems Design and Implementation, Boston, EUA.
Las-Casas, P. H. B., Guedes, D., Marques-Neto, H. T., Ziviani, A., e Almeida, J. M. (2011). Detecção de Spammers na Rede de Origem. Em XXIX Simpósio Brasileiro de Redes de Computadores e Sistemas Distribuídos, Campo Grande, Brasil.
MessageLabs (2010). MessageLabs Intelligence: November 2010. Online.
Veloso, A., Meira, W., e Zakib, M. J. (2006). Lazy associative classification. Em Sixth International Conference on Data Mining, Hong Kong, China.
Published
2011-07-19
How to Cite
LAS-CASAS, Pedro Henrique B.; MARQUES-NETO, Humberto T..
Detection of Spammers in the Origin Network. In: SBC UNDERGRADUATE RESEARCH CONTEST (CTIC-SBC), 30. , 2011, Natal/RN.
Anais [...].
Porto Alegre: Sociedade Brasileira de Computação,
2011
.
p. 123-132.
