摘要
基于教育城域网的云网融合采用多云纳管的架构,对网络安全的统筹监管带来挑战。数据的多源性和异构性使不同云平台提供的安全数据质量参差不齐,直接影响分析和决策。文章提出一种基于层次分析法的数据综合评估方法,建立了面向多源信息系统平台的层次型数据质量评估模型,设计了相关指标体系,提出数据丰富性、可交换性两个新的数据质量维度,给出了评估步骤和方法。文章以某市教育综合大数据平台的安全数据集为样本进行实例评估和分析,并基于评估结果提出了提高数据质量的建议。
Multi-source network security data from different platform bring challenges for network supervisors.This paper presents a comprehensive quality evaluation method of big data based on analytic hierarchy process(AHP),establishes a hierarchical data quality assessment model for multi-source system platform,designs a hierarchical data quality metric system,and introduces two new data quality dimensions,richness and exchangeability.This paper analyzed the security data set of a city's comprehensive big data platform for education,and proposed management solutions to improve the data quality.
作者
王明政
孟伟强
黄建华
吴飞霞
WANG Mingzheng;MENG Weiqiang;HUANG Jianhua;WU Feixia(Shanghai Municipal Education Commission Information Center,Shanghai 200003,China;Department of Information Science and Engineering,East China University of Science and Technology,Shanghai 200237,China)
出处
《信息网络安全》
CSCD
北大核心
2019年第12期79-87,共9页
Netinfo Security
关键词
安全数据
层次法
质量评估
security data
hierarchical method
quality assessment
