Network Intrusion Detection and Response Mechanism Based on Artificial Intelligence
Aiming at the challenges in the field of network intrusion detection,a network intrusion detection method based on improved naive bayes algorithm is proposed.Firstly,the overall framework of network intrusion detection and response is deeply studied.Secondly,an improved naive bayes algorithm is proposed,which introduces feature weighting and conditional probability smoothing strategy to improve the accuracy of intrusion detection.Finally,the CIC-IDS2017 data set is used for experimental verification and compared with the traditional naive bayesian method.The experimental results show that the improved naive bayes method is superior to the traditional method in many indexes,which fully proves its effectiveness in network intrusion detection.
万方数据
维普
