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

Information gain-based topology attribution of diversity of BGP prefix hijacking impact

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

4 Author(s)
Yujing Liux ; Sch. of Comput., Nat. Univ. of Defense Technol. (NUDT), Changsha, China ; Bin Dai ; Bofeng Zhang ; Jinshu Su

In order to study the relationship between the diversity of BGP prefix hijacking impact and the topology of participants, we apply a data mining method. We get instances from numerous prefix hijacking simulations on the authentic Internet topology, and evaluate the importance of topology attributes using information gain-based attribute selection. Then we estimate the precision of classification by running decision tree algorithm with different topology attributes to determine which ones should be taken into consideration in efficient impact evaluation of prefix hijacking.

Published in:

Computer Science and Service System (CSSS), 2011 International Conference on

Date of Conference:

27-29 June 2011

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.