基于指数加权平均法的通信流量信息熵监测系统设计  

Design of Communication Traffic Information Entropy Monitoring System Based on Exponential Weighted Average Method

作　　者：张麦玲[1] ZHANG Mailing(School of Computer and Software Engineering,Pingdingshan Polytechnic College,Pingdingshan 467001,China)

机构地区：[1]平顶山工业职业技术学院计算机与软件工程学院,河南平顶山467001

出　　处：《通信电源技术》2022年第15期40-42,共3页Telecom Power Technology

基　　金：2021年度河南省高等教育教学改革研究与实践项目“全员编程六维进阶:人工智能赋能新型人才数字素养培育机制研究与实践”(2021SJGLX673)。

摘　　要：由于现有的通信网络异常流量监测响应时间较长,影响监测时效性,因此基于指数加权平均法设计一种通信流量信息熵监测系统。系统硬件部分,利用通信流量迁移器和流量监测控制器及时显示异常流量监测结果;系统软件部分,基于指数加权平均法设计异常网络流量集中处理模块、异常流量分类模块以及挖掘异常流量信息熵模块。通过实验分析,设计系统能够有效缩短响应时间,改善监测效果。Due to the long response time of abnormal flow monitoring in the existing communication network,which affects the monitoring timeliness,a communication flow information entropy monitoring system is designed based on the exponential weighted average method.The hardware part of the system uses the communication flow migrator and the flow monitoring controller to display the abnormal flow monitoring results in time,the software part of the system designs the abnormal network flow centralized processing module,the abnormal flow classification module and the abnormal flow information entropy mining module based on the exponential weighted average method.Through experimental analysis,the designed system can effectively shorten the response time and improve the monitoring effect.

关 键 词：信息熵 通信网络 流量数据 异常监测 

分 类 号：TM73[电气工程—电力系统及自动化]