Application of clustering algorithm of data mining technology in network security detection

Abstract

With the popularization and application of network technology, the problem of computer network security becomes more and more prominent, so the intrusion detection system becomes more and more important. Firstly, this paper studies the application of clustering algorithm of data mining technology in network security detection. Then, on the basis of literature data, the related knowledge of network security detection is understood, and a network security detection system based on clustering algorithm is designed and analyzed. Finally, the algorithm applied in the system is verified. The test results show that the improved ant colony clustering algorithm in this paper is better than the basic ant colony clustering algorithm in detection time.