Intelligent Intrusion Detection Algorithm For WLAN

At present, as convenient communication equipment, the mobile terminal playsan important role in people’s daily lives. WLAN is an important carrier of mobilecommunication, how to enhance their own security, being the general concern ofscholars at home and abroad. Intelligent algorithm is applied to the WLAN intrusiondetection field; the development of mobile communication has a very importantsignificance.In this paper, on the basis of analysis of the WLAN network security threats andintrusion detection system functional requirements, the structure of the intrusiondetection system is given in this paper, describes the packet-based feature selectionand ensemble learning WLAN intelligent intrusion detection algorithm.First of all, for the needs of the system real-time and energy, a selectionalgorithm are proposed based on improved gray dynamic model are characterizedpackets. WLAN mobile terminal receives the data, there is a large number and thefinal intrusion detection independent data, redundant data, and camouflage data to themonitoring system a lot of invalid data processing burden, a waste of the resources ofthe terminal also reduces the system response speed. Screening a large number ofultimate intrusion classified has nothing to do network data to improve the efficiencyof intrusion detection, in order to meet the needs of the system real-time and energy,the use of gray dynamic model, packets containing a large number of featureinformation to identify that reflects the final classification results the characteristicsof the packet, and use of genetic algorithms to optimize the model, to improveperformance.Then, the characteristics of WLAN network intrusion, fast response and the needfor accuracy, the invasion ensemble learning algorithm based on information entropy.Neural network and SVM is used in intrusion classification model, the use ofinformation entropy algorithm integration of the two models, to achieve the purposeof improving network security capabilities of the mobile terminal.Finally, the intrusion detection system hardware platform, system architecture and control algorithm is analyzed. Based on this simulation test and simulation testresults demonstrate the effectiveness of the method.