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Big Data Privacy Issues Solutions

机译:大数据隐私问题和解决方案

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摘要

As we all know that the 21 century is the century of Big Data. This data is the raw material for the production of immense social and economic values. This leads to a massive increase in data storage and data mining. The increasing number of people, sensors, and devices are the main causes of big data. This data creates great value for the innovation, productivity, efficiency, and growth of the global economy. But at the same time this data generates a “data deluge” which generates privacy concerns; as a result, it creates a backlash dampening the economy of the data and the innovation. So to maintain the privacy of individuals and the production of the data we need to create some advanced policies which can effectively work on big data because the policies or algorithms which we have are not so much advanced that they can deal with that much amount of data on the timely basis. This paper presents the privacy issues which come across dealing with big data and suggests a few ways to protect the data-intensive information systems.
机译:众所周知,21世纪是大数据的世纪。该数据是生产巨大社会和经济价值的原料。这导致数据存储和数据挖掘的大量增加。越来越多的人,传感器和设备是大数据的主要原因。该数据对全球经济的创新,生产力,效率和增长产生了很大的价值。但同时,此数据生成“数据删除”,它会产生隐私问题;因此,它创造了一种阻尼数据的经济和创新的反弹。因此,为了维护个人的隐私和我们需要的数据的生产,我们需要创建一些可以有效地处理大数据的高级策略,因为我们拥有的策略或算法并不是如此,他们可以处理大量数据及时。本文介绍了跨越大数据的隐私问题,并提出了一些保护数据密集型信息系统的方法。

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