RESEARCH OF WAVELET NEURAL NETWORK BASED HOST INTRUSION DETECTION SYSTEMS

Neural networks have good learning ability, and wavelets have good time-frequency localization properties. Combining the advantages of neural network and wavelet, wavelet neural network (WNN) shows great advantages than general neural network. WNN has been successfully applied in many areas. But in Intrusion Detection System (IDS), how to apply WNN is still one question. In this paper, we give a WNN-IDS model that using WNN instead of general neural network. Results show that applying WNN to IDS can shorten the training time and increase the test accuracy.