By Topic

The Methods of Network Traffic Statistical Anomaly Detection Based on Network Processor

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

3 Author(s)
Li Yun ; SunYat-sen Univ., Coll. of Inf. Sci. & Technol., Guangzhou, China ; Renhua Ge ; Jinghua Li

DDoS attacks has brought severe damage to the Internet Today's internet security has increasingly become a severe threat. For DDoS attacks characteristics we judge abnormal flow of data by RaiiTa criterion and control flow by token barrels filter to avoid abrupt flow.

Published in:

Intelligent Information Technology Application Workshops, 2009. IITAW '09. Third International Symposium on

Date of Conference:

21-22 Nov. 2009