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A Distributed Solution for Privacy Preserving Outlier Detection

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2 Author(s)
Luong The Dung ; Inf. Technol. Center, Gov. Inf. Security Comm., Hanoi, Vietnam ; Ho Tu Bao

In this paper, we study some parties - each has a private data set - want to conduct the outlier detection on their joint data set, but none of them want to disclose its private data to the other parties. We propose a linear transformation technique to design protocols of secure multivariate outlier detection in both horizontally and vertically distributed data models. While different from the most of previous techniques in a privacy preserving fashion for distance-based outliers detection, our focus is the technique in statistics for detecting outliers.

Published in:

Knowledge and Systems Engineering (KSE), 2011 Third International Conference on

Date of Conference:

14-17 Oct. 2011

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