A hybrid MLP/CNN neural network is constructed based on research on time-delayed characteristic of chaotic neuron A misuse detection Model based on chaotic neuron is proposed

which has both the capability of classification which MLP has and the functionality of time-delay

collection and judgment which chaotic neuron has.Because this intrusion detection system has flexible time-delay characteristic

it can identify distributed intrusion effectively.The simulation and test is conducted using samples captured from data traffic.The detection rate of FTP (File Transfer Protocol) brute-force attack is up to 98%.The false alarm and false negative rates are both less than 2%.The model proposed in this paper may be generalized to time-delayed intrusion detection systems such as distributed DOS etc.and other time-delayed classification systems.