DocumentCode
3062577
Title
A New Approach to Automatically Detect Worms
Author
Ping, Wang ; Bin-Xing, Fang ; Xiao-Chun, Yun
Author_Institution
Harbin Institute of Technology, China
fYear
2005
fDate
05-08 Dec. 2005
Firstpage
259
Lastpage
263
Abstract
Worms have seriously harmed computer and network systems due to their rapid spread rate. Therefore, it is necessary to research automatic worm detection systems in large networks. In this paper, data stream based anomaly detection is used to screen out anomalous network data flow, subsequently, the signature is extracted. After analyzed, the signature is updated to the misuse detection pattern. Based on an automatic worm defense, a system could discover an epidemic situation effectively and detect an unknown worm.
Keywords
Computer networks; Computer science; Computer worms; Data mining; Databases; Filters; Internet; Intrusion detection; Pattern analysis; TCPIP;
fLanguage
English
Publisher
ieee
Conference_Titel
Parallel and Distributed Computing, Applications and Technologies, 2005. PDCAT 2005. Sixth International Conference on
Print_ISBN
0-7695-2405-2
Type
conf
DOI
10.1109/PDCAT.2005.25
Filename
1578910
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