Optimizing Algorithm Simulation of Network Intrusion Detection of Autologous Set
Hui Zhang · Jisuanji fangzhen · 2013
In order to improve the efficiency of the grid intrusion feature matching,we proposed an efficient optimization algorithm based on repeated game network intrusion detection of autologous set.We utilized the characteristics of the data in space invasion relative concentration,and in the classification probability calculation,we added a constraint factor calculation process of the game.In the matching process of the probability,we eliminated the multiple probability comparison through data game,joined the game constrained computing best-response functions,and calculated the maximum value of classification optimization.Simulation results show that the complexity of the classification matches time has reduced to a certain degree in this improved algorithm,and the optimization results are obvious.