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Neural network has been one of the most common methods used in the intrusion detection system (IDS). In this paper, we describe a method to deal with the common audit data set. It includes converting the string to numeric elements firstly, then omitting the unnecessary data and ensuring that the data has the reasonable range limit. The simulation results built upon Matlab software show good performance after such data handling.