A situation awareness model of network security based on grey Verhulst model
Jian Wang · Ha'erbin gongye daxue xuebao · 2008
To meet the need of the monitoring and early-warning to the safety of the network system within the oppositional environment,this paper proposed a situation awareness model for the network security based on the unequal interval grey Verhulst model with residual correction.Starting with the unequal interval original sampling risk data sequence,it selected the grey Verhulst model or its inverse function to forecast the future risk value of network based on the swaying character of S or reverse S shape presented by accumulated sequences.Through modifying the forecast precision of the model based on the multilevel residual error,the intuitionistic situation curve of the network security was obtained.Results of the experiment and simulation indicate that the presented model can achieve a satisfactory precision on situation awareness of the network security and can be used practically.