基于异常图谱特征和嵌入式ARM的光纤网络异常监测系统设计  

Design of fiber optic network anomaly monitoring system based on anomaly map characteristic and embedded ARM

作　　者：戎成 闵勇[3] 谢之鑫 RONG Cheng;MIN Yong;XIE Zhixin(Zhejiang Scientific Research Institute of Transport,Hangzhou 311305,China;Zhejiang Institute of Communications,Hangzhou 311112,China;Zhejiang University of Technology,Hangzhou 310023,China;Xinjiang Vocational&Technical College of Communications,Urumchi 831401,China)

机构地区：[1]浙江省交通运输科学研究院,杭州311305 [2]浙江交通职业技术学院,杭州311112 [3]浙江工业大学,杭州310023 [4]新疆交通职业技术学院,乌鲁木齐831401

出　　处：《激光杂志》2020年第3期182-186,共5页Laser Journal

基　　金：浙江交通运输厅科研计划项目(No.2018047)。

摘　　要：为解决数据在传输和信道转发中,光纤网络易因节点同台扰动的影响而被攻击,导致网络异常,为提高光纤网络安全性,提出基于异常图谱特征和嵌入式ARM的光纤网络异常监测系统设计。该系统硬件由组件控制模块、数据调度模块、检测滤波模块和人机交互模块共同构成,通过对存储器调度的设计实现网络监测程度的加载和自适应数据的读取。基于异常图谱特征提取技术构建光纤网络异常数据传输模型,结合链路均衡配置方法进行光纤网络传输信道均衡设计,提取光纤网络传输数据的异常图谱特征,采用模糊特征聚类方法进行异常波束聚能处理,根据异常信息的输出指向差异性实现异常监测。实验表明,采用该系统进行光纤网络异常监测时误码率低至0.031,对异常信息的检测准确性高达97.6%。In order to solve the problem of network anomaly in data transmission and channel forwarding,which is easily attacked by the disturbance of nodes in the same station,an anomaly monitoring system based on anomaly map and embedded ARM is proposed to improve the security of optical network.The design of optical network anomaly monitoring module is based on the feature extraction of abnormal map and embedded ARM.The module hardware is composed of the component control module,the data scheduling module,the detection filtering module and the human-computer interaction module.The loading and reading of adaptive data of network monitoring degree is realized by designing memory scheduling.Based on anomaly map feature extraction technology,the abnormal data transmission model of fiber-optic network is constructed,and the link equilibrium configuration method is used to design optical network transmission channel equalization.The abnormal map features of optical network transmission data are extracted,and the fuzzy feature clustering method is used to perform abnormal beam convergence processing.The abnormality monitoring is implemented according to the pointing difference output of abnormal information.Experiments show that the bit error rate is as low as 0.031,and the accuracy of abnormal information detection is as high as 97.6%.

关 键 词：光纤网络 异常图谱特征提取 异常监测模块 嵌入式 

分 类 号：TN919[电子电信—通信与信息系统]