Considerations for privacy preserved open Big Data analytics platform
H. Surendra, H S Mohan · 2016
With the recent advancement in the field of information technology and internet, the amount of data being generated, processed and stored in increasing very rapidly to the scale of Big Data. This large amount of data contains important information which needs to be discovered for improving the business or society. Opening this data to public will encourage more advance research and innovative solutions. But as this data contains sensitive private information of individuals, their privacy need to be protected from adversaries. Concern for data security and privacy are rising. There are many theoretical concepts of preserving privacy and very few are being adopted due to their complexity. In this paper, we have tried to provide list of different major aspects to be considered for building a practical open big data analytic platform. Different data access techniques, inference control methods and other important considerations to be made are discussed.