Research of Intrusion Detection Method Based on Rough Set and SVM Algorithm
Dongna Zhang · Jisuanji gongcheng · 2005
This paper proposes an intrusion detection method which combines rough set and SVM algorithm. In virtue of the ability rough set has to decease the amount of data and get rid of redundancy, the method can reduce amount of training data used and overcome SVM’s defect of slow running speed when process large data set. At the same time, by the aid of SVM algorithm the method can classify the core of property set as to have extensiveness and high identification rate, and avoid disturbance. Experimental results show this method is better than other methods reported in the literature in terms of detection resolution.