DocumentCode
2616678
Title
Anomaly Network Detection Model Based on Mobile Agent
Author
Yu, Wang ; Xiaohui, Cheng ; Sheng, Wang
Author_Institution
Guilin Univ. of Technol., Guilin, China
Volume
1
fYear
2011
fDate
6-7 Jan. 2011
Firstpage
504
Lastpage
507
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;
fLanguage
English
Publisher
ieee
Conference_Titel
Measuring Technology and Mechatronics Automation (ICMTMA), 2011 Third International Conference on
Conference_Location
Shangshai
Print_ISBN
978-1-4244-9010-3
Type
conf
DOI
10.1109/ICMTMA.2011.128
Filename
5720831
Link To Document