大数据安全保护策略研究

Research on big data security protection strategy

随着数据价值的体现,大数据技术得到了飞速发展,在海量数据资源为各行业提供可用信息、决策依据和高品质服务的同时,也给网络安全、个人隐私安全带来了新的挑战。论文通过剖析大数据技术特点和其引发的安全风险事件,结合我国网络信息安全管理现状,从管理策略和技术保障等方面完善并规范数据的分类分级管理,并针对大数据全生命周期涉及的各环节建立健全的流程规范提出建议,促进我国大数据技术良性循环发展。

With the embodiment of the value of data, big data technology has developed rapidly. Massive data resources provide information, decision basis and high quality service for various industries. It also brings new challenges to network security and personal privacy security. By analyzing the characteristics of large data technology and the security risk events caused by it, and combining with the current situation of network information security management in China, this paper improves and standardizing the classification and classification of data from management strategy and technical support, and puts forward suggestions on the establishment of a sound process specification for all links involved in the whole life cycle of big data. Promote the development of China＇s big data technology.