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

Research on the intrusion detection technology with hybrid model

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)
Qingqing Zhang ; Dept. of Inf. Technol., Hebei Inst. of Commun., Shijiazhuang, China ; Hongbian Yang ; Kai Li ; Qian Zhang

Intrusion Detection is an indispensable component of Network Security. Because exists the problems of the high false positives rate and low detection efficiency in the current intrusion detection system, in this paper, we propose a hybrid intrusion detection model and improve intrusion detection system analyzer, applying the Data fusion and data mining techniques to intrusion detection systems. We have researched this model further more and analyzed its architecture in detail.

Published in:

Environmental Science and Information Application Technology (ESIAT), 2010 International Conference on  (Volume:2 )

Date of Conference:

17-18 July 2010

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.