信息安全研究 ›› 2019, Vol. 5 ›› Issue (5): 394-399.

• 大数据安全专题 • 上一篇    下一篇

大数据应用中的个人信息分级保护研究

高磊,李晨旸,赵章界   

  1. 北京信息安全测评中心
  • 收稿日期:2019-05-06 出版日期:2019-05-15 发布日期:2019-05-06
  • 通讯作者: 高磊
  • 作者简介:高磊 硕士,工程师,主要研究方向为网络与信息安全、大数据安全、个人信息安全. gaolei@bjeit.gov.cn 李晨旸 硕士,高级工程师,主要 研究方向为网络与信息安全. licy@bjeit.gov.cn 赵章界 博士,高级工程师,主要研究方向为网络空间安全、大数据安全. zhaozj@bjeit.gov.cn

The Research on Personal Information Classification Protection in Big Data Application

  • Received:2019-05-06 Online:2019-05-15 Published:2019-05-06

摘要: 近年来,大数据技术得到广泛应用,对促进政府和企业管理决策的科学化和精细化、提升公共服务水平都具有重大意义.但是,大数据技术自身存在诸多安全隐患,数据安全问题尤为突出,数据分类分级保护机制尚不完善,导致在个人信息应用方面数据泄露和滥用等问题频发.从个人信息在大数据中的应用现状进行分析,总结个人信息所面临的安全风险,同时从大数据应用背景下个人信息的属性进行分析,提出个人信息的分类、分级方法及其重要程度的判定原则,并结合系统数据安全保护等级和安全评估形式,给出各级个人信息的安全保护要求.

关键词: 大数据, 个人信息, 属性分析, 分级保护, 数据安全

Abstract: In recent years, the big data technology has been widely applied, which is of great significance for promoting the scientific and refined management decisions of the government and enterprises and improving the level of public services. However, the big data technology itself has many security risks, especially the problem of datasecurity, due to the data classification and classification protection mechanism is not perfect,which leads to frequent data leakage and abuse in the application of personal information. This paper analyzes the application status of personal information in big data, summarizes the security risk faced bypersonal information, meanwhile, this paper also analyzes the attributes of personal information, next, proposes the classification methods of personal information as well as the determination principles of its importance degree, then combined with the system data security protection level and safety assessment forms,finally the personal information safety protection requirements at all levels are also presented.

Key words: big data, personal information, attribute analysis, classification protection, data security