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Top ten challenges in Big Data security and privacy

机译:大数据安全和隐私的十大挑战

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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.
机译:大数据的速度,数量和种类(例如大规模的云基础架构,数据源和格式的多样性,数据采集的流性质以及大量的云间迁移)会放大安全性和隐私问题。因此,专门用于保护小规模的静态(与流式传输相反)数据的传统安全机制不足。在本次演讲中,我们重点介绍了十大大数据安全和隐私挑战。突出挑战将激发人们对加强大数据基础架构的关注。

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