基于大数据分析的融合通信智能分析平台设计  

Design of Integrated Communication Intelligent Analysis Platform Based on Big Data Analysis

作　　者：高欣[1] 李苗 张燕玲[2] Gao Xin;Li Miao;Zhang Yanling(Yellow River Conservancy Technical Institute,Kaifeng 475000,China;Jiaozuo University,Jiaozuo 454000,China)

机构地区：[1]黄河水利职业技术学院,开封475000 [2]焦作大学,焦作454000

出　　处：《信息通信技术》2023年第1期78-84,共7页Information and communications Technologies

基　　金：2020年度河南省软科学研究计划项目“大数据驱动下河南高校‘智慧工坊’自适应人才培养生态系统实现策略研究”(202400410133)。

摘　　要：由于通信网络安全直接关系到数据传输与共享的安全,为及时发现通信网络中存在的风险,提高通信网络安全,文章设计一种基于大数据分析的融合通信智能分析平台。通过采用MVC设计模式的思想搭建总体框架,包括模型层、控制器层和视图层。在硬件部分,通过通信流量数据采集卡采集大数据,并存储到存储硬盘当中,通过微控制器处理、挖掘与分析。在软件部分,设计三大功能模块,即大数据采集模块、大数据分析模块、智能预警模块。实验结果证明,与基于ABC-SVM的分析平台、基于循环神经网络的分析平台、基于支持向量机的分析平台相比,所设计平台的SROC面积数值更大。说明所设计平台的分析表现更好,更有利于保证通信网络的安全。Since the security of communication network is directly related to the security of data transmission and sharing,in order to discover the risks in communication network in time and improve the security of communication network,a fusion communication intelligent analysis platform based on big data analysis is designed.By using MVC design pattern,the overall framework is built,including model layer,controller layer and view layer.In the hardware part,the big data is collected by the communication flow data acquisition card and stored in the storage hard disk,which is processed,mined and analyzed by the microcontroller.In the software part,three functional modules are designed,namely the big data acquisition module,the big data analysis module and the intelligent early warning module.The experimental results show that compared with the analysis platform based on ABC-VSN,the analysis platform based on recurrent neural network and the analysis platform based on support vector machine,the SROC area of the designed platform is larger than that.It shows that the analysis performance of the designed platform is better and more conducive to ensuring the security of the communication network.

关 键 词：大数据分析 通信数据 采集 特征提取 聚类分析 智能分析平台 

分 类 号：TP311.13[自动化与计算机技术—计算机软件与理论] TN915.08[自动化与计算机技术—计算机科学与技术]