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An Anomaly Intrusion Detection Based on Kernel Fisher Discriminant |
Zhou Ming-zheng |
Dept. of Comp. Sci. & Engn., Anhui University of Technology and Science, Wuhu 241000, China |
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Abstract Kernel method is introduced to intrusion detection and an anomaly intrusion detection method based on kernel Fisher discriminant is presented in this paper. This method is applied for monitoring the abnormal behavior of processes. Firstly, this paper presents the possible of kernel Fisher method applied to intrusion detection. Secondly, this paper descriptions the kernel Fisher algorithm is generalized for heterogeneous datasets. A model of anomaly intrusion detection based on kernel Fisher is given and the working process of this model is used with sendmail system call in detail discussion; Finally, the simulation result is compared with other methods, The measuring result of this method is superior to other similar methods .
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Received: 10 January 2005
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