现代计算机2024,Vol.30Issue(22) :160-163.DOI:10.3969/j.issn.1007-1423.2024.22.028

基于均值聚类算法的网络链路安全监测系统设计

Design of network link security monitoring system based on mean clustering algorithm

陈长松
现代计算机2024,Vol.30Issue(22) :160-163.DOI:10.3969/j.issn.1007-1423.2024.22.028

基于均值聚类算法的网络链路安全监测系统设计

Design of network link security monitoring system based on mean clustering algorithm

陈长松1
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作者信息

  • 1. 郑州工商学院信息工程学院,郑州 451400
  • 折叠

摘要

在网络通信过程中,网络隐患容易导致非法攻击者截获通信信息,引发安全问题.因此,设计均值聚类算法下网络链路安全监测系统.通过网络链路流量采集模块、数据存储模块、通信控制模块完成硬件系统的设计.采用均值聚类算法聚类网络链路流量数据,以更好地理解网络链路的结构和行为,判定网络链路状态,由此实现网络通信链路状态远程监控.实验结果表明:设计系统具有良好的应用性能.

Abstract

In the process of network communication,network vulnerabilities can easily lead to illegal attackers intercepting communication information,causing security issues.Therefore,design a network link security monitoring system using mean cluster-ing algorithm.The hardware system design is completed through the network link traffic collection module,data storage module,and communication control module.Using mean clustering algorithm to cluster network link traffic data,in order to better understand the structure and behavior of network links,determine the status of network links,and thus achieve remote monitoring of network communication link status.The experimental results indicate that the designed system has good application performance.

关键词

流量特征/网络链路安全/远程监控/安全监测/均值聚类

Key words

flow characteristics/network link security/remote monitoring/safety monitoring/mean clustering

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出版年

2024
现代计算机
中大控股

现代计算机

影响因子:0.292
ISSN:1007-1423
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