Title :
A New Method of Data Processing in the Intrusion Detection System with Neural Networks
Author :
Jing, Bi ; Xiaojing, Cheng ; Kun, Zhang
Author_Institution :
Sci. Sch., Beijing Univ. of Civil Eng. & Archit., Beijing, China
Abstract :
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.
Keywords :
security of data; common audit data set; data processing; intrusion detection system; neural networks; numeric elements; Computer networks; Computer science education; Computer security; Data mining; Data processing; Data security; Intrusion detection; Neural networks; Neurons; Systems engineering education; Audit data; Intrusion Detection; Neural network;
Conference_Titel :
Education Technology and Computer Science (ETCS), 2010 Second International Workshop on
Conference_Location :
Wuhan
Print_ISBN :
978-1-4244-6388-6
Electronic_ISBN :
978-1-4244-6389-3
DOI :
10.1109/ETCS.2010.430
