ZHANG Guo-rong

International Journal of Wireless and Microwave Technologies (IJWMT)

IJWMT Vol. 1, No. 4, 15 Aug. 2011

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Privacy Preserving Similarity Measurement

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Author(s)

ZHANG Guo-rong ^1,*

1. Guangzhou Academy of Fine Arts, Guangzhou, China

* Corresponding author.

DOI: https://doi.org/10.5815/ijwmt.2011.04.04

Received: 5 Apr. 2011 / Revised: 6 Jun. 2011 / Accepted: 12 Jul. 2011 / Published: 15 Aug. 2011

Index Terms

Privacy Preserving, Similarity, Isometric Transformation

Abstract

Data similarity measurement is an important direction for data mining research. This paper is concentrated on the issue of protecting the underlying attribute values when sharing data for the similarity of objects measurement and proposes a simple data transformation method: Isometric-Based Transformation (IBT). IBT selects the attribute pairs and then distorts them with Isometric Transformation. In the process of transformation, the goal is to find the proper angle ranges to satisfy the least privacy preserving requirement and then randomly choose one angle in this interval. The experiment demonstrates that the method can distort attribute values, preserve privacy information and guarantee valid similarity measurement.

Cite This Paper

ZHANG Guo-rong,"Privacy Preserving Similarity Measurement", IJWMT, vol.1, no.4, pp.27-34, 2011. DOI: 10.5815/ijwmt.2011.04.04

Reference

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