Title :
Protocol based foresight anomaly intrusion detection system
Author :
Tsai, Meng-Kai ; Lin, Shun-Chieh ; Tseng, Shian-Shyong
Author_Institution :
Dept. of Comput. & Inf. Sci., Nat. Chiao Tung Univ., Hsinchu, Taiwan
Abstract :
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 does not prevent attacks in advance. In order to prevent attacks, a finite automata based foresight network intrusion detection system (FA-FNIDS) is proposed in this paper. The FA-FNIDS can prevent attacks and further find novel attacks. Finally, three experiments are also done for evaluating the efficiency of our FA-FNIDS.
Keywords :
XML; authorisation; data mining; finite automata; network analysers; safety systems; NIDS; XML; data mining; finite automata; network intrusion detection system; protocol-based foresight anomaly; Automata; Computer hacking; Data mining; Data security; Information science; Internet; Intrusion detection; Probes; Protocols; XML;
Conference_Titel :
Security Technology, 2003. Proceedings. IEEE 37th Annual 2003 International Carnahan Conference on
Print_ISBN :
0-7803-7882-2
DOI :
10.1109/CCST.2003.1297609
