Network Intrusion Detection System Based on Differential Chaos Optimization Algorithm
MA Ya · Science Technology and Engineering · 2013
the development of a new network intrusion detection system to confirm using chaos differential effectiveness of optimization algorithm of data mining technology is presented. This system combined the differential chaos optimization algorithm based anomaly detection and misuse detection based on expert system,the development of anomaly detection part,USES chaos differential mining technology to the normal looking for differences in the behavior of the storage model,based on the chaos differential evolution algorithm's global search capability to select a proper feature set,misuse detection part for finding abnormal characteristics in the collection behavior description model are presented. This model is likely to herald the invasion,the network traffic and system data may be used as the input of two components. System structure of the system supports both anomaly detection and misuse detection, is applicable to individual workstations and can be applied to complex networks.