Research on Data Attribute Reduction for Network Security Situation

This paper firstly introduces the research object and key concept of rough set, the data reduction and classification is one of its core areas, Secondly analyzes the characteristics of rough set and limitations on data reduction, which usually is used jointly with other algorithm, and then introduce the rough set attribute reduction algorithm based on the original genetic algorithm, For the shortage of traditional algorithm, cross probability and variation probability and fitness function are further improved. Finally, the experiment proves the efficiency of improved algorithm is better than the traditional algorithm.