Cart (Loading....) | Create Account
Close category search window

IDGraphs: intrusion detection and analysis using stream compositing

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
$31 $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)
Pin Ren ; Dept. of Electr. Eng. & Comput. Sci., Northwest Univ., Xi''an, China ; Yan Gao ; Zhichun Li ; Yan Chen
more authors

IDGraphs is an interactive visualization system, supporting intrusion detection over massive network traffic streams. It features a novel time-versus-failed-connections mapping that aids in discovery of attack patterns. The number of failed connections (SYN-SYN/ACK) is a strong indicator of suspicious network flows. IDGraphs offers several flow aggregation methods that help reveal different attack patterns. The system also offers high visual scalability through the use of Histographs. The IDGraphs intrusion detection system detects and analyzes a variety of attacks and anomalies, including port scanning, worm outbreaks, stealthy TCP SYN flooding, and some distributed attacks. In this article, we demonstrate IDGraphs using a single day of NetFlow network traffic traces collected at edge routers at Northwestern University which has several OC-3 links.

Published in:

Computer Graphics and Applications, IEEE  (Volume:26 ,  Issue: 2 )

Date of Publication:

March-April 2006

Need Help?

IEEE Advancing Technology for Humanity About IEEE Xplore | Contact | Help | Terms of Use | Nondiscrimination Policy | Site Map | Privacy & Opting Out of Cookies

A not-for-profit organization, IEEE is the world's largest professional association for the advancement of technology.
© Copyright 2014 IEEE - All rights reserved. Use of this web site signifies your agreement to the terms and conditions.