基于数据安全可视化技术的大数据安全研究

Research on Big Data Security Based on Data Security Visualization Technology

互联网技术的高速发展启动了大数据时代的到来,大数据在带来巨大数据价值的同时,也迎来了信息泄漏与损坏等一系列安全性问题。而在有价值的信息逐渐被损坏后,直接加大了信息技术基础设施的脆弱性,致使其极易被攻击,因此需各式各样的网际安全与信息保障战略、方法应用于保护大数据安全。基于数据可视化技术有助于全方位且迅速发现系统的安全威胁所在,评估系统安全等级,确保基础设施安全。对此本文基于数据视角着手,根据大数据4V特征进行了安全数据分类,并汇总分析了面向不同安全数据的大数据可视化技术,以期可以帮助人们选择最佳数据可视化技术以深入挖掘大数据蕴藏的安全价值。

The rapid development of Internet technology has started the arrival of the era of big data.While big data brings huge data value,it also ushers in a series of security problems such as information leakage and damage.After valuable information is gradually damaged,it directly increases the vulnerability of information technology infrastructure,making it extremely vulnerable to attack.Therefore,a variety of Internet security and information security strategies and methods are needed to protect big data security.Based on data visualization technology,it helps to find the security threats of the system in an all-round and rapid way,evaluate the security level of the system and ensure the security of infrastructure.Based on the data perspective,this paper classifies the security data according to the 4V characteristics of big data,and summarizes and analyzes the big data visualization technologies for different security data,in order to help people choose the best data visualization technology to deeply tap the security value of big data.