论文信息 - A New Method of Data Processing in the Intrusion Detection System with Neural Networks

A New Method of Data Processing in the Intrusion Detection System with Neural Networks

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.

Bi Jing | Zhang Kun | Cheng Xiaojing

[1] Qiang Chen,et al. Probabilistic techniques for intrusion detection based on computer audit data , 2001, IEEE Trans. Syst. Man Cybern. Part A.

[2] Morteza Amini,et al. RT-UNNID: A practical solution to real-time network-based intrusion detection using unsupervised neural networks , 2006, Comput. Secur..

[3] Jooyoung Park,et al. Universal Approximation Using Radial-Basis-Function Networks , 1991, Neural Computation.