Abstract

With the rapid development and wide application of big data technology, a huge amount of data is gathered into big data platform, not only from a wide variety, but also with rapid growth speed. While improving social economic and making social benefits, big data technology is facing great risks and challenges in the aspect of big data security and privacy. Currently, big data privacy has become an urgent problem in the era of big data application which attracts a large number of reports and concerns, and its importance and urgency can’t be ignored. This paper first describes the characteristics and categories of big data privacy, then analysis privacy risks during the whole life cycle of big data processing in deep, including data collection, data integration and fusion, data analysis and data sharing, etc. Finally, this paper discusses the goals and solutions on how to control and prevent big data privacy risks.

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