2019 VOL.2 Feb No.1

• Title: Studies interactive query differential privacy protection based on big data
• Name: Catherine Wilson
• Company: University of Groningen,Holland
• Abstract:

   Big data, as the Internet after another kind of disruptive technology revolution, to people’s production and life brought great convenience. However, with the development of the interactive mode, the privacy protection problem more and more get the attention of people. To this end, was proposed based on the difference of big data privacy protection method research. For interactive query difference features of privacy protection, data correlation characteristics is used to reduce the information leakage, and display of personal privacy information during data creation in alternating directions is broken down in order to protect personal privacy. Experiments show that the proposed privacy protection method improves the performance of the algorithm, improves the accuracy of privacy protection, and has a very high effect.

• Keyword: big data; interactive query; differential privacy; privacy protection;
• DOI: 10.12250/jpciams2019010119
• Citation form: Catherine Wilson.Studies interactive query differential privacy protection based on big data[J]. Computer Informatization and Mechanical System, 2019, vol. 2, pp. 51-55.

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