Title :
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
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;
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
DOI :
10.1109/ICINIS.2009.13
