Research on Distributed Network Security Algorithm Based on K-means
In view of the problems of low efficiency and insufficient accuracy of traditional network security algorithms in processing large-scale network data,in order to improve the accuracy of data classification in distributed networks,this paper proposes a new distributed network security algorithm combined with K-means algorithm.The algorithm realizes the classification and analysis of network security data through the selection of k value and initial center,and deals with the attack behavior in the network by cluster classification to ensure the security of the network.The simulation results show that the security algorithm proposed in this paper is more feasible than the traditional defense algorithm and can better cope with the modern network security challenges.
NETL
NSTL
万方数据
