By Topic

A Distributed Approach of Intelligent Network Traffic Monitoring and Anomaly Detection Application

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

4 Author(s)
Mohammad Syukur ; Faculty of Mathematics and Natural Sciences, University of Sumatera Utara, Medan 20155, Sumut, Indonesia, mhdsyukur@usu.ac.id ; Muhammad Fermi Pasha ; Sureswaran Ramadass ; Rahmat Budiarto

Monitoring a large corporate network connecting thousands of computers which generate billions of packets everyday is a challenge and difficult task! This paper proposes a distributed approach of intelligent network traffic monitoring and anomaly detection system. By utilizing a distributed client-server scheme, our proposed system can monitor multiple network segments and distribute the workload among the intelligent clients to monitor and detect anomaly. In this way, the complexity of having analyzing enormous traffic at once can be reduced. The server's primary task is only to manage all different profiles from different network segment used by the intelligent clients in their respective segments

Published in:

The 2nd International Conference on Distributed Frameworks for Multimedia Applications

Date of Conference:

May 2006