DocumentCode :
2330030
Title :
A new approach for early detection of Internet worms based on connection degree
Author :
Bo, Chen ; Fang, Bin-Xing ; Yun, Xiao-Chun
Author_Institution :
Nat. Comput. Inf. Content Security Key Lab., Harbin Inst. of Technol., China
Volume :
4
fYear :
2005
fDate :
18-21 Aug. 2005
Firstpage :
2424
Abstract :
In recent years, Internet-scale worm incidents occurred many times. People wonder at the speediness of the worm spread and the severe damage to the Internet. So people began to find methods to detect worms as quickly as possible. The paper first describes a worm behavior and propagation model. And then based on it, a new approach for early detection of Internet worms is proposed. This approach determines whether a worm incident has occurred by the change of the computers´ connection degree. The approach is proved to be effective on early detection of unknown worms by experiments.
Keywords :
Internet; invasive software; Internet worm; computer connection degree; propagation model; Computer hacking; Computer networks; Computer security; Computer worms; Economics; Information security; Internet; Intrusion detection; National security; Web server; CUSUM; Worm; behavior model; connection degree; early detection;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Machine Learning and Cybernetics, 2005. Proceedings of 2005 International Conference on
Conference_Location :
Guangzhou, China
Print_ISBN :
0-7803-9091-1
Type :
conf
DOI :
10.1109/ICMLC.2005.1527351
Filename :
1527351
Link To Document :
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