Privacy-Preserving Statistical Analysis Method for Real-World Data

We propose a method for obtaining statistical results such as averages, variances, and correlations without leaking any raw data values from data-holders by using multiple pseudonyms. At present, to obtain statistical results using a large amount of data, we need to collect all data in the same stor...

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Bibliographic Details
Main Authors: Ishii, J., Maeomichi, H., Yoda, I.
Format: Conference Proceeding
Language:English
Subjects:
Correlation
Data privacy
multiple pseudonyms
Privacy
privacy-preserving
query auditing
Reliability
Servers
Smart phones
splitting role of servers
Online Access:Request full text
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Description
Summary:We propose a method for obtaining statistical results such as averages, variances, and correlations without leaking any raw data values from data-holders by using multiple pseudonyms. At present, to obtain statistical results using a large amount of data, we need to collect all data in the same storage device. However, gathering real-world data that was generated by different people is not easy because they often contain private information. Thus, our method solves the problem and protects data-holders from data-user's malicious attacks. Finally, we evaluate the suitability of our method through implementation and experimentation.
ISSN:2324-898X
2324-9013
DOI:10.1109/TrustCom.2012.226