Title :
Network intrusion model for analyzing intrusion patterns
Author :
Jin Hyuk Kim ; Eut Gyu Im ; Joo Beom Yoon ; Seung Kyu Park
Author_Institution :
Ajou University
Abstract :
As the development of internet, the risk of exposing to malicious intrusion via network grows higher and higher. To make it possible defense such a malicious intrusion, it is indispensable to simulate and analyze vulnerabilities of network. In this paper, we propose network intrusion model and intrusion scenario tree lor detecting and analyzing intrusion patterns and verify how it can be adopted to the simulation.
Keywords :
Analytical models; Costs; Educational institutions; IP networks; Internet; Intrusion detection; National security; Pattern analysis; Pattern recognition; Sun; SSFNet; intrusion detceting; intrusion scenario tree; network instrusion model;
Conference_Titel :
Advanced Communication Technology, 2004. The 6th International Conference on
Conference_Location :
Phoenix Park, Korea
Print_ISBN :
89-5519-119-7
DOI :
10.1109/ICACT.2004.1292879