Research on Feature Selection of Intrusion Detection based on Genetic and Simulated Annealing Algorithm
Lihui Li · Computers & Security · 2010
Feature selection is one of the most important problems in intrusion detection. It can work out the useful feature subset, eliminate redundant characteristic, and then, achieves the goals of improving classification precision and the efficiency. A feature selection arithmetic based on genetic and simulated annealing algorithm was put forward. On the basis of genetic algorithm,combines genetic operations and simulated annealing operations. Therefore,the algorithm which does well in avoiding some deficiencies of genetic algorithm prevents local optimization and runs into overall optimization ultimately.Use the standard data sets of intrusion detection -KDD1999, simulation experiment show that the algorithm proposed in this paper can accelerate the pace of feature selection; intrusion detection system that combined with the feature selection algorithm that has been proposed in this paper have better detect rate than the intrusion detection system combined with typical feature selection algorithm (FSSG) in present.