DocumentCode
2338015
Title
A NetFlow based internet-worm detecting system in large network
Author
Chan, Yi-Tung F. ; Shoniregun, Charles A. ; Akmayeva, Galyna A.
Author_Institution
Univ. of Wales, Cardiff
fYear
2008
fDate
13-16 Nov. 2008
Firstpage
581
Lastpage
586
Abstract
The Internet worm infects the computer system, network packet, communication performance, and the traditional method of managing network using SNMP to monitor abnormal network traffic. To monitor suspicious Internet activity and to recognise the Internet worm categories, we proposed FloWorM system that can reduce the misjudgment and detection rate based on NetFlow which analyse the source data from the router. Our experiment and data testing are based on two companies.
Keywords
Internet; invasive software; FloWorM system; NetFlow based Internet-worm detecting system; abnormal network traffic; communication performance; computer system; large network; network packet; Computer worms; Computerized monitoring; IP networks; Internet; Intrusion detection; Network servers; Surveillance; Taxonomy; Telecommunication traffic; Web server;
fLanguage
English
Publisher
ieee
Conference_Titel
Digital Information Management, 2008. ICDIM 2008. Third International Conference on
Conference_Location
London
Print_ISBN
978-1-4244-2916-5
Electronic_ISBN
978-1-4244-2917-2
Type
conf
DOI
10.1109/ICDIM.2008.4746789
Filename
4746789
Link To Document