大数据安全与隐私保护技术综述

Denglong Lv, Shibing Zhu, Huazheng Xu, Ran Liu
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引用次数: 6

摘要

研究解决好大数据安全和隐私保护问题,是促进大数据健康发展的关键。本文提出了基于生命周期、安全目标和用户角色的三维大数据安全和隐私保护模型,并从不同角度分析了大数据的安全挑战和安全目标。对大数据安全和隐私保护的可行技术及其应用进行了阐述和分析,并对大数据安全和隐私保护的深入研究方向进行了讨论和总结。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Review of Big Data Security and Privacy Protection Technology
To study and solve the issues of big data security and privacy protection is the key to promote the healthy development of big data. In this paper, a 3D big data security and privacy protection model based on life cycle, security goal and user role is presented, and the security challenges and security goals of big data are analyzed from different aspects. The feasible technology and its application in big data security and privacy protection are expounded and analyzed, and the in-depth research direction of big data security and privacy protection is discussed and summarized.
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