By Topic

Using Statistical Discriminators and Cluster Analysis to P2P and Attack Traffic Monitoring

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$33 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

5 Author(s)
Marcus Fabio Fontenelle do Carmo ; Applied Computer Science Department, University of Fortaleza, Brazil, marcusfabio@edu.unifor.br ; Gabriel Paulino Siqueira Junior ; Jose Everardo Bessa Maia ; Raimir Holanda
more authors

In the last few years, we have seen that the attack and P2P traffic has increased significantly. Currently, P2P traffic represents a significant portion of Internet traffic and the attacks represent a serious threat to computer systems. The approach presented here uses a small number of statistical discriminators and cluster analysis to identify such kind of traffics, obtaining results that are better than the results found into previous papers. We perform an empirical test using real traces.

Published in:

2007 Latin American Network Operations and Management Symposium

Date of Conference:

10-12 Sept. 2007