Close category search window
 

Research on Network Security Situation Awareness Technology Based on Artificial Immunity System

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)
Liu nian ; Coll. of Comput. Sci., Sichuan Univ., Chengdu, China ; Wang Diangang ; Huang Xuemei ; Liu Sunjun
more authors

With the applying of artificial immune technology in the field of network security situation awareness, this article puts forward a new immune network security situation awareness model to enable self-learning and self-adapting of network system, and increase its immunity and viability. When network is under attack, it can find out the current network security situation and future trend in an all-around way, provide grounds for reasonable and accurate response to guarantee the usability of system.

Published in:
Information Technology and Applications, 2009. IFITA '09. International Forum on  (Volume:1 )

Date of Conference: 15-17 May 2009

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 2013 IEEE - All rights reserved. Use of this web site signifies your agreement to the terms and conditions.