论大数据时代下银行信息的安全保护策略  

On the Security Protection Strategy of Bank Information in the Era of Big Data

作　　者：邢陈思[1] XING Chensi(Haikou Central Branch,People's Bank of China,Hainan Haikou,570125,China)

机构地区：[1]中国人民银行海口中心支行,海南海口570125

出　　处：《数码设计》2018年第6期12-12,共1页Peak Data Science

摘　　要：由于信息技术、网络金融的进一步发展,各大银行开始追捧大数据,将自身数据资源与互联网结合在一起,以此来促进自身各项工作效率的提升。就大数据时代而言,银行将客户与交易信息,从内部系统延展到了互联网之中。在这一背景下,信息拥有了泄露破坏性强、数据量大以及数据价值高三个特点,所以也给信息安全防护带来前所未有的挑战。In recent years, with the rapid development of information technology and network finance, large data has gradually become a hot spot for banks. Using their own data resources, and the Internet data system together, making banks have entered the era of big data. In the era of large data, banks extend customer and transaction information from the internal system to the entire Internet, making the information given the following three characteristics: before data leakage destructive, large amount of data and high value of data, so it also brings unprecedented challenges to information security protection.

关 键 词：大数据 银行信息 安全保护 

分 类 号：TP309[自动化与计算机技术—计算机系统结构]