大数据时代的访问控制:现状与研究方向

Pietro Colombo, E. Ferrari
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引用次数: 14

摘要

由于大数据的数量、种类和速度,以及迄今为止缺乏标准的数据模型和相关的数据操作语言,数据安全和隐私问题被放大。在本文中,我们将重点关注一个关键的数据安全服务,即访问控制,通过强调与传统数据管理系统的区别,并描述一组大数据平台访问控制解决方案可能满足的要求。然后,我们描述的艺术状态和讨论开放的研究问题。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Access Control in the Era of Big Data: State of the Art and Research Directions
Data security and privacy issues are magnified by the volume, the variety, and the velocity of Big Data and by the lack, up to now, of a standard data model and related data manipulation language. In this paper, we focus on one of the key data security services, that is, access control, by highlighting the differences with traditional data management systems and describing a set of requirements that any access control solution for Big Data platforms may fulfill. We then describe the state of the art and discuss open research issues.
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