Dimension Reduction Using Rough Set Theory For Intrusion Detection System

This paper briefly describes Information Detection System management by reducing dimension of the information system(IS) for network traffic both row wise and column wise. For dimension reduction, Rough Set Theory (RST) is used where determination of reduct and core plays a major role. But finding reduct is difficult task for a huge IS. Our paper suggests a technique where we propose to divide the complete IS table into different subdivisions as per the values of decision attribute. Then in each subdivided IS table, some conditional attributes are combined to reduce column size of the subdivided IS table. In this reduced subdivided IS table significance of the attribute is determined and reduct is found out.