大数据 ›› 2017, Vol. 3 ›› Issue (5): 38-44.doi: 10.11959/j.issn.2096-0271.2017050

• 专题:大数据安全和隐私保护 • 上一篇    下一篇

开源大数据平台的安全实践

刘杰   

  1. 百度(中国)有限公司,北京 100085
  • 出版日期:2017-09-20 发布日期:2017-10-24
  • 作者简介:刘杰(1979-),男,百度(中国)有限公司商业安全研发部主任、研发架构师,主要研究方向为分布式计算、Linux内核文件系统、海量数据存储与挖掘、大数据架构及数据安全防护技术。

Practice on security of big data platform

Jie LIU   

  1. Baidu China Co.,Ltd.,Beijing 100085,China
  • Online:2017-09-20 Published:2017-10-24

摘要:

开源大数据平台的安全机制目前并不特别完善,特别是用户认证、日志审计等方案还存在不少问题。分析了开源大数据平台存在的安全隐患,在开源Hadoop平台的基础上提出了基于Giaho的大数据平台用户认证机制和基于高效的日志审计方案,并结合百度公司的实际应用阐述所提技术方案的有效性。该技术方案具有一定的普适性,可根据企业当前技术环境灵活使用。

关键词: 大数据安全, 用户认证, 日志审计, 数字安全

Abstract:

The security mechanism of open source platform is not sophisticated,especially on user authentication and log audit.The potential safety problems of open source platform were analyzed.Based on the open source Hadoop platform,the user authentication based on Giano,and the efficient log audit based on rules were proposed.Combined with the practical application of Baidu,the effectiveness of the technical scheme was expounded.The technical scheme has certain universality,and it can be flexibly used according to the current technological environment of the enterprise.

Key words: big data security, user authentication, log audit, digit security

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