Network Security Based on K-Means Clustering Algorithm in Data Mining Research
Chunfen Bu · Proceedings of the 8th International Conference on Social Network, Communication and Education (SNCE 2018) · 2018
Nowadays, the network has become the basis of everything.Meanwhile, network security has become one of today's most urgent social problem.Intrusion detection systems are sold through real-time monitoring of network traffic, and take corresponding measures when the suspicious transfer of suspicious problems of a new network security device.Intrusion detection system compared to traditional network security measures, have great advantages.Can solve the shortcomings of the original passive inspired, can also process it before the damage occurred, appearance of the intrusion detection system, has become an important part of network security. PrefaceIn today's society, computer network security has become the chief problem of information society.With the continuous development of technology, the network intrusion behavior has the hidden power, the means of destruction is complex, there is no time space to restrict the existence of network, there is a great harm to the network security [1-3].Therefore, network security is the most important component of today's society.As for the detection and prevention of intrusion detection, it becomes the primary problem that we need to solve.The research on intrusion detection system also becomes extremely important.Based on the data mining of k-means clustering algorithm, this paper conducts research on network security and discusses how to create a network security and harmonious environment [4].Intrusion detection system is a system that can detect all software and hardware, and the application value is high.At present the system has already become the main network security management tool, can collect different set information in the system, and then combined with the function of the system of detection and automatic response [7].Intrusion detection system is a behavior classifier, which operates through the judgment of information intrusion and non-invasive behavior.Here is the concept associated with intrusion detection.In the early intrusion detection system, Denning successfully proposed the general intrusion detection system model [8], which laid a solid foundation for future research of intrusion detection system. Data Mining AlgorithmData mining [9-11] algorithm consists of cluster analysis algorithm, correlation analysis and classification algorithm.Clustering algorithms can be the object of the data set is divided into a lot of similar classes, and classification algorithm is similar, are complete data grouping, and then reference algorithm definition, with the help of clustering algorithm can obtain high similarity of the same object.Cluster analysis is a common method in data mining analysis, which can be used to show unsupervised anomaly detection, and can solve problems existing in traditional data mining methods.This method can be used in a new database without having to rely on pre-determined data categories and data category samples in intrusion detection system.Cluster analysis creates a good environment for the establishment of intrusion detection system.