Technology of Attack Feature Selection Based on Conditional Information Entropy
This paper defined the importance of attack features using conditional information entropy of knowledge,and presented an algorithm of attack features selection based on conditional information entropy.The experiment results show that it is not only effective to reduce the cost of memory and analysis,but also to simplify neural network structure and train set by using the selected features.The results also show that it can increase the detection speed and without sacrificing the detection correctness.