Title: Method of differential privacy protection for web-based communities based on adding noise to the centroid of positions
Authors: Chun Guan; Jun Hu; Yu Zhou; Alexander Shatalov
Addresses: School of Information Engineering, Nanchang University, Nanchang 330031, Jiangxi, China ' School of Software, Nanchang University, Nanchang 330047, Jiangxi, China ' School of Software, Nanchang University, Nanchang 330047, Jiangxi, China ' School of Information Engineering, Nanchang University, Nanchang 330031, Jiangxi, China
Abstract: The research of location privacy protection has a very important significance for the emergence and sustenance of web-based communities in the big data era. The method of differential privacy for position is a privacy model strictly for the measurement of privacy. However, under the privacy protection for multi-positions, it will bring much bigger errors by adopting the method of adding noise to protect the privacy of multi-positions. In this paper, the author puts forward a new method of differential privacy for multi-positions based on mechanism of adding noise to the centroid of positions and compares with the independent mechanism of adding noise. The experiment shows that the centroid mechanism of adding noise is better than the mechanism of independently adding noise.
Keywords: privacy; privacy protection; web-based communities; centroid; location-based services; multi-positions.
International Journal of Web Based Communities, 2021 Vol.17 No.1, pp.53 - 64
Received: 26 Mar 2020
Accepted: 24 Apr 2020
Published online: 22 Jan 2021 *