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
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;
Conference_Titel :
Intelligent Control and Automation, 2002. Proceedings of the 4th World Congress on
Print_ISBN :
0-7803-7268-9
DOI :
10.1109/WCICA.2002.1020005
