Top ten challenges in Big Data security and privacy

P. Murthy
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引用次数: 4

Abstract

Security and privacy issues are magnified by the velocity, volume, and variety of Big Data, such as large-scale cloud infrastructures, diversity of data sources and formats, streaming nature of data acquisition and high volume inter-cloud migration. Therefore, traditional security mechanisms, which are tailored to securing small-scale, static (as opposed to streaming) data, are inadequate. In this talk we highlight the top ten Big Data security and privacy challenges. Highlighting the challenges will motivate increased focus on fortifying Big Data infrastructures.
大数据安全与隐私的十大挑战
安全性和隐私问题被大数据的速度、数量和种类所放大,例如大规模云基础设施、数据源和格式的多样性、数据采集的流性质以及大容量云间迁移。因此,专为保护小规模静态(相对于流)数据而设计的传统安全机制是不够的。在本次演讲中,我们将重点介绍大数据安全和隐私方面的十大挑战。突出这些挑战将促使人们更加关注加强大数据基础设施。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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