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Research on Intrusion Detection System Based on Pattern Recognition
Author: ZhengYing
Tutor: ZhuYouChan
School: North China Electric Power University (Hebei)
Course: Applied Computer Technology
Keywords: Intrusion Detection Pattern Recognition AdaBoost algorithm RBF Neural Network Isometric Mapping algorithm
CLC: TP393.08
Type: Master's thesis
Year: 2009
Downloads: 78
Quote: 0
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Abstract
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Intrusion detection technology is a multi- level and multi- depth means of network protection , security technology research . In this paper, the pattern recognition technology is designed and implemented a new intrusion detection method based on AdaBoost . And weak classification algorithm - RBF neural network are discussed in detail , and successfully construct a reasonable neural network structure suitable for intrusion detection . Isometric Mapping algorithm in intrusion detection , data from high-dimensional to low-dimensional mapping to improve the recognition rate and efficiency of detection . Compare the test results will be based on the AdaBoost method test results with the RBF neural network , proved to the AdaBoost method can greatly improve the weak classification algorithm recognition rate .
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