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Research And Implementation Of Intrusion-Detection System Based On PSO_RBF ANN

Posted on:2009-08-31Degree:MasterType:Thesis
Country:ChinaCandidate:J LuFull Text:PDF
GTID:2178360245456589Subject:Measuring and Testing Technology and Instruments
Abstract/Summary:
With the widely spread of internet, the everyday life and the working environment of people are having increasing dependence on the computer network, and thus the security of network is gaining more attentions of people. The current security defense techniques are mainly passive defense techniques. As an initiative and dynamic network security defense technique, the intrusion detection technique is a new direction of the development of network security, and is a necessary complementary of conventional network security techniques.This paper introduces a new strategy of Intrusion detection. Through the analysis on the existing intrusion detection and common intrusion detection framework, I notice that, NN-based intrusion detection technique is an efficient method. So, I adopt the RBF-NN, which has the best approaching capability, simple network structure, and high leaning speed. But the parameters of RBF are based on the partial information in the whole parameter space, thus it may not be able to reach the global optimal value and reduces the detection rate. This paper analyzes the functions of PSO algorithm which has the capability to search the global optimal solution, the PSO algorithm can modify the study strategy of RBF-NN and it can fix the loophole of the parameters setting in RBF-NN. Based on this, I further study the research problems which need to be solved in the PSO-RBF NN based intrusion detection system, and design a prototype system. With this prototype system, I illustrate the implementation of the system from the perspective of hierarchy and modules. And I also present the design diagram and supporting techniques. For the major modules, I show the detailed implementation methodology. Now I have completed the close-test and discussed how to do the open-test. The experimental results show that, the intrusion detection system based on PSO-RBF NN can effectively enhance the efficiency of intrusion detection. Finally, through the conclusion on the research, design and implementation of PSO-RBF NN based intrusion detection system, I point out the possible future work.
Keywords/Search Tags:PSO algorithm, Intrusion detection, RBF ANN, NN: Neural-Network
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