Intrusion Detection Technology Based on SVDD

Author

Jiaomin, Liu ; Zhenzhou, Wang ; Xinchun, Fang ; Jing, Wang

Author_Institution

Coll. of Comput. Sci. & Sofiware, Hebei Univ. of Technol., Tianjin, China

fYear

2009

fDate

1-3 Nov. 2009

Firstpage

15

Lastpage

18

Abstract

Intrusion detection is actually a classification problem of detecting the normal and abnormal data separately. However, the data needed for intrusion detection are very large and complex. In this paper, we solved this problem very well, using SVDD (support vector data description) algorithm, and carried out simulation experiments in the network datasets, got a high detection rate and a low false alarm rate.

Keywords

computer network security; pattern classification; support vector machines; abnormal data detection classification; intrusion detection technology; low false alarm rate; network datasets; normal data detection classification; support vector data description algorithm; Computer networks; Computer security; Data security; Engines; Information security; Intelligent networks; Intrusion detection; National security; Object detection; Support vector machines; intrusion detection technology: SVDD; network data;

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligent Networks and Intelligent Systems, 2009. ICINIS '09. Second International Conference on

Conference_Location

Tianjin

Print_ISBN

978-1-4244-5557-7

Electronic_ISBN

978-0-7695-3852-5

Type

conf

DOI

10.1109/ICINIS.2009.13

Filename

5366066