Title :
A Combined Prediction Method for Network Security Situation
Author :
Man, Dapeng ; Wang, Yan ; Yang, Wu ; Wang, Wei
Author_Institution :
Inf. Security Res. Center, Harbin Eng. Univ., Harbin, China
Abstract :
In order to improve the precision of network security situation prediction, a combined method for prediction was proposed. For the nonlinearity of network security situation value, the Method predicted the security situation by using ARMA model and Markov model. On this basis, it optimized the predicted results with combined strategy. The analysis of the example indicates that the combined method can effectively improve the precision of network security situation prediction, compared with single Method.
Keywords :
Markov processes; autoregressive moving average processes; computer network security; ARMA model; Markov model; combined prediction method; network security situation; Analytical models; Forecasting; Hidden Markov models; Markov processes; Predictive models; Security;
Conference_Titel :
Computational Intelligence and Software Engineering (CiSE), 2010 International Conference on
Conference_Location :
Wuhan
Print_ISBN :
978-1-4244-5391-7
Electronic_ISBN :
978-1-4244-5392-4
DOI :
10.1109/CISE.2010.5676911
