DocumentCode
1986115
Title
The model and algorithm of automatic data-mining of network intrusion characteristics
Author
Huang, Huiyong ; Wang, Xingyu
Author_Institution
Coll. of Inf. Sci. & Eng., East China Univ. of Sci. & Technol., Shanghai, China
Volume
4
fYear
2002
fDate
2002
Firstpage
2701
Abstract
The paper is focused on the study of the automatic data mining of network intrusion features, its modeling and consequently provides the optimized solving algorithm. The effectiveness of the model and algorithm is tested through the feature data mining of the attack which exploits the IIS (Internet Information Server) vulnerabilities.
Keywords
Internet; data mining; security of data; telecommunication security; IIS vulnerabilities; Internet Information Server; automatic data-mining; modeling; network intrusion characteristics; network security; optimized solving algorithm; Automation; Data engineering; Data security; Educational institutions; Information science; Intelligent control; Paper technology; Testing;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Control and Automation, 2002. Proceedings of the 4th World Congress on
Print_ISBN
0-7803-7268-9
Type
conf
DOI
10.1109/WCICA.2002.1020005
Filename
1020005
Link To Document