標題: Protocol based foresight anomaly intrusion detection system
作者: Tsai, MK
Lin, SC
Tseng, SS
資訊工程學系
Department of Computer Science
關鍵字: NIDS;protocol;finite automata;data mining;XML
公開日期: 2003
摘要: In recent years, a lot of network intrusion detection systems (NIDSs) have been developed to assist administrators in detecting the malevolent attacks. However, most of the NIDSs may not prevent attacks in advance. In order to prevent attacks, a Finite Automata Based Foresight Network Intrusion Detection System (FA-FNIDS) will be proposed in this paper. The FA-FNIDS can prevent attacks and further find novel attacks. Finally, three experiments will also be done for evaluating the efficiency of our FA-FNIDS.
URI: http://hdl.handle.net/11536/18726
ISBN: 0-7803-7882-2
期刊: 37TH ANNUAL 2003 INTERNATIONAL CARNAHAN CONFERENCE ON SECURITY TECHNOLOGY, PROCEEDINGS
起始頁: 493
結束頁: 500
顯示於類別:會議論文