基于光纤耦合的RDF数据差异性检测系统设计  

Design of difference detection system for RDF data based on fiber coupling

作　　者：王欣[1] 翟羽婷 史春燕[1] WANG Xin;ZHAI Yuting;SHI Chunyan(Zhangjiakou University,Zhangjiakou Hebei 075000,China)

机构地区：[1]张家口学院,河北张家口075000

出　　处：《激光杂志》2021年第11期139-143,共5页Laser Journal

基　　金：河北省自然科学基金(No.60901542)。

摘　　要：为了提升RDF数据差异性检测效果,降低光纤网络数据入侵风险,设计基于光纤耦合的RDF数据差异性检测系统。以CAIDS检测架构作为底层数据调配结构,在连接RDF双核处理器与数据过滤模块的同时,实现检测系统的硬件执行环境搭建。以RDF型数据查询结果为标准,利用耦合光束的质量水平评价结果,将所有信息参量全部转存至数据库结构体之中,实现系统的软件执行环境搭建;连接相关硬件设备主机,完成基于光纤耦合的RDF数据差异性检测系统设计。对比实验结果表明,与云架构检测系统相比,光纤耦合型检测系统所能承担的入侵数据量水平更高,而所需的DAI连接系数值却相对更小,满足构建稳定化数据光纤传输环境的实际应用需求。To improve the difference detection effect of RDF data and reduce the risk of data intrusion in optical fiber network,a difference detection system of RDF data based on fiber coupling was designed.With CAIDS detection architecture as the underlying data allocation structure,the hardware execution environment of the detection system is set up while the RDF dual-core processor relates to the data filtering module.With RDF data query results as the standard and the quality level evaluation results of coupled beam,all information parameters are transferred to the database structure to realize the software execution environment construction of the system.Connected with the host of relevant hardware equipment,completed the design of the difference detection system of RDF data based on fiber coupling.The experimental results show that compared with the cloud architecture detection system,the optical fiber coupling detection system can bear a higher level of intrusion data,while the required DAI connection coefficient value is relatively smaller,which meets the practical application requirements of constructing a stable data fiber transmission environment.

关 键 词：光纤耦合 RDF数据 差异性检测 CAIDS架构 双核处理器 过滤模块 数据查询计划 存储数据库 

分 类 号：TN929.11[电子电信—通信与信息系统]