Dimensionality reduction of characters used to intrusion detection system
YU Sheng-chen · Computer Engineering and Applications Journal · 2008
In general,if more inter-independent characters are used in Intrusion Detection System(IDS),then more classification information will be provided,which is favor of improving whole performance of IDS.But on the other hand,fewer inter-independent characters are needed for IDS,because IDS is completed through mathematics method.To resolve the contradiction and to improve the real-time and whole performance of IDS,an approach,called dimensionality reduction of characters,is presented in the paper,in which the information of n characters are compressed to k(kn) characters through mathematics transformation,and these new compressed characters are used to recognize intruders.When they are used as the input of IDS,the whole performance of IDS can be improved.On the base of the new compressed characters,a back propagate neural network IDS is built.Tests show that the approach and IDS developed in the paper are useful and available.The conclusion is that through dimensionality reduction of characters presented,the information of n characters is not only kept,but also fewer inter-independent characters are used to IDS,which can lead to reducing the computing complexity of IDS and improving the whole performance of IDS.