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Network Security Based on K-Means Clustering Algorithm in Data Mining Research

机译:基于K-Means聚类算法在数据挖掘研究中的网络安全性

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摘要

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.
机译:如今,网络已成为一切的基础。与此同时,网络安全已成为当今最紧迫的社会问题之一。入侵检测系统通过对网络流量的实时监控销售,并在可疑转移新的网络安全设备的可疑问题时采取相应的措施。入侵检测系统与传统的网络安全措施相比,具有很大的优势。可以解决原来被动灵感的缺点,也可以在发生损坏之前处理它,入侵检测系统的外观已成为网络安全的重要组成部分。

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