Privacy Protection System and Big Data

Tu, Runqi · uO Research (University of Ottawa) · 2017

With the development of data calculating and storage technology, big data become a buzzword and application of big data analytics have spread all over the world.Although the prosperous of big data bring a lot of benefit to us, many people worry about the privacy issue generated by it, like data breaches, identity fraud and the security of data infrastructure.Many people also think the current privacy protection system should be adjusted to adapt to the big data.This research paper aims to research whether and how we should change our privacy protection system with the coming of big data according to the experience of Canada, China mainland and Hong Kong.This paper argues that we should change our privacy protection system in a way that could protect people's privacy as well as would not hinder reasonable data analytics.The result shows that the current privacy protection system could protect privacy generally, but some changes also should be adapted to reduce risks.On the other hand, due to the new features of big data analytics, the system would impede some certain types of data analytics.This study concludes the feature of this type of data analytics, and call for more research on this topic.

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