Title :
An Improved Intrusion Detection System Based on Agent
Author :
Dong, Bin ; Liu, Xiu-Ling
Author_Institution :
Hebei Univ. Affiliated Hosp., Baoding
Abstract :
This paper firstly analyzes the necessity of Intrusion Detection System for computer network, and then it proposes an improved intrusion detection system based on Agent by introducing the STAT (State Transition Analysis Tool). The improved system updates rules by Agents, and it perceives real-timely the state of the intruding activities and analyzes them by STAT. It is indicated from the experimental result that the improved intrusion detection system based on Agent is capable of increasing efficiently the detection rate. Finally, the present thesis analyzes the application of this system with its characters.
Keywords :
security of data; software agents; software tools; computer network; intrusion detection system; software agent; state transition analysis tool; Computer networks; Cybernetics; Data security; Electronic mail; Hospitals; Information analysis; Information security; Intrusion detection; Machine learning; Object detection; Agent; Intrusion detection system; State transition analysis tool; System security;
Conference_Titel :
Machine Learning and Cybernetics, 2007 International Conference on
Conference_Location :
Hong Kong
Print_ISBN :
978-1-4244-0973-0
Electronic_ISBN :
978-1-4244-0973-0
DOI :
10.1109/ICMLC.2007.4370692
