摘要
通信网络具有数据量大、硬件设备组成复杂等特点,网络环境易受外界干扰表现出一定程度的脆弱性,为实现对通信网络数据可靠度的精准度量,提出考虑环境脆弱程度的通信网络数据可靠度度量方法。采集通信网络数据,从节点环境以及数据本身两个方面,构建通信网络数据可靠度度量指标体系。根据实时通信网络数据的采集结果,计算指标体系中的其他指标及指标权重,得出通信网络数据的可靠度度量结果。通过性能测试实验得出结论:设计方法的可靠度度量误差平均为0.01,对应通信网络安全风险为8%。
Communication networks have the characteristics of large data volume and complex hardware equipment composition.The network environment is prone to external interference and exhibits a certain degree of vulnerability.To achieve accurate measurement of communication network data reliability,a communication network data reliability measurement method considering environmental vulnerability is proposed.Collect communication network data and construct a reliability measurement index system for communication network data from two aspects:node environment and data itself.Based on the collection results of real-time communication network data,calculate other indicators and indicator weights in the indicator system,and obtain the reliability measurement results of communication network data.Through performance testing experiments,it was concluded that the average reliability measurement error of the design method is 0.01,corresponding to an 8%communication network security risk.
作者
吕颍颍
LV Yingying(Henan Technical Institute,Zhengzhou 450042,China)
出处
《自动化与仪器仪表》
2025年第1期65-68,73,共5页
Automation & Instrumentation
基金
河南省重点研发与推广专项科技攻关项目(212102210430)
河南应用技术职业学院青年骨干教师资助项目(2022-GGJS-X001)。
关键词
机器视觉
通信网络数据
数据可信度
可信度度量
machine vision
communication network data
data credibility
credibility measurement
