Title :
The Methods of Network Traffic Statistical Anomaly Detection Based on Network Processor
Author :
Yun, Li ; Ge, Renhua ; Li, Jinghua
Author_Institution :
SunYat-sen Univ., Coll. of Inf. Sci. & Technol., Guangzhou, China
Abstract :
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.
Keywords :
Internet; computer network security; telecommunication congestion control; telecommunication traffic; DDoS attacks; Internet security; RaiiTa criterion; network processor; network traffic statistical anomaly detection; token barrels filter; Conferences; Information technology; Telecommunication traffic; DDoS attack; RaiiTa; Token barrels filter;
Conference_Titel :
Intelligent Information Technology Application Workshops, 2009. IITAW '09. Third International Symposium on
Conference_Location :
Nanchang
Print_ISBN :
978-1-4244-6420-3
Electronic_ISBN :
978-1-4244-6421-0
DOI :
10.1109/IITAW.2009.22
