Title :
Anomaly Network Detection Model Based on Mobile Agent
Author :
Yu, Wang ; Xiaohui, Cheng ; Sheng, Wang
Author_Institution :
Guilin Univ. of Technol., Guilin, China
Abstract :
In order to figure out the problems which the existing intrusion detection system models have, such as more significant network transmission load, lower detection efficiency, limited data process ability. The paper has discussed an intrusion detection model based on mobile agent technology, and expatiated the method which analyzing data agent has adopted utilizing Markov model principle, and carried out simulation test of model performance on the platform Aglets from IBM corporation. The experiment result shows that the model has more adaptable and the detecting intrusion algorithm for analyzing data agent has more detection accuracy.
Keywords :
Markov processes; mobile agents; security of data; Markov model principle; anomaly network detection model; data agent; data process ability; detection efficiency; intrusion detection system models; mobile agent technology; network transmission load; Adaptation model; Analytical models; Data models; Intrusion detection; Markov processes; Mobile agents; Protocols; Aglets; Anomaly network detection; Markov model; Mobile agent;
Conference_Titel :
Measuring Technology and Mechatronics Automation (ICMTMA), 2011 Third International Conference on
Conference_Location :
Shangshai
Print_ISBN :
978-1-4244-9010-3
DOI :
10.1109/ICMTMA.2011.128