一种基于5W1H的数据异常访问分析研究

Research on anomaly access analysis based on 5W1H

大数据正在改变着我们的生活,也在改变着企业的运营模式,数据已经慢慢成为企业的核心资产、战略资源。数据在被深度挖掘、共享应用的同时,也成为不法分子盗取的主要目标,因此数据安全已经成为网络安全的重要组成部分。本文立足于数据被访问过程中可能出现的泄露场景,基于任何一次数据访问过程中的5W1H六要素,利用聚类和标签算法构建一种实时的数据异常访问综合分析方法。

Big data is changing our lives and changing the way we operate.Data has gradually become the core assets and strategic resources of enterprises.While being deeply explored and shared,data has become the main target of criminals'theft.Therefore,data security has become an important part of network security.This paper is based on the possible leak scenes during the data access process,based on the 5W1H six elements in any data access process,constructing a real-time data anomaly access comprehensive analysis method by using clustering and labeling algorithm.