Intrusion Prediction Algorithm Based on Modified Wavelet Neural Network

With the development of information technology, network services have gradually become an important part of people's lives. Meanwhile, the network security issues are increasingly more serious, which bring great security risks to people's information and property security. As one of the hot research topics in information security field, intrusion detection system can scan network activities according to predetermined rules, monitor network traffic and provide real-time alarm. However, intrusion detection system still has some obvious problems, such as lack of active defense capabilities, detection behind intrusion, etc. In this paper, we propose a network intrusion prediction method using modified wavelet neural network to improve the prediction accuracy of network intrusion. Simulation results show that the proposed method can obtain better prediction accuracy and lower false alarm rate compared with traditional intrusion prediction methods, which can better guarantee the security of the computer system.