首页|基于大数据的通信网络入侵节点定位方法研究

基于大数据的通信网络入侵节点定位方法研究

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考虑通信网络在运行中的安全性面临着严峻考验,为此提出基于大数据的通信网络入侵节点定位方法.通过提取通信网络的大数据特征,计算网络入侵节点的特征权值.利用大数据技术采样通信网络入侵节点,引入分布式计算方法,计算入侵节点的权重信息,完成通信网络入侵节点的识别.根据网络入侵节点的信号强度,计算入侵节点之间的接收信号强度值,将计算结果转换为质心理论的权值,然后结合大数据技术估计入侵节点的位置.经过优化计算,实现通信网络入侵节点的定位.实验结果表明,所提方法可以在最短的时间内定位入侵节点,保证通信网络的安全性.
Research on Location Method of Intrusion Nodes in Communication Network Based on Big Data
Considering that the security of communication network is facing a severe test in operation,this paper puts forward a research on the location method of intrusion nodes in communication network based on big data.By extracting the big data features of communication network,the feature weights of network intrusion nodes are calculated.Using big data technology to sample the invading nodes in communication network,and introducing distributed computing method to calculate the weight information of the invading nodes,so as to complete the identification of the invading nodes in communication network.According to the signal strength of network intrusion nodes,the received signal strength between intrusion nodes is calculated,and the calculation result is converted into the weight of centroid theory.Finally,the position of intrusion nodes is estimated by combining big data technology.After optimization calculation,the location of intrusion nodes in communication network is realized.The experimental results show that this method can locate the invading nodes in the shortest time and ensure the security of the communication network.

big dataintrusion nodecommunication networkpositioning

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中国联合网络通信有限公司江西分公司,江西南昌 330000

大数据 入侵节点 通信网络 定位

2024

通信电源技术
武汉普天通信设备集团有限公司

通信电源技术

影响因子:0.389
ISSN:1009-3664
年,卷(期):2024.41(4)
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