可穿戴装置个性化本地差分隐私保护方案

本地差分隐私(local differential privacy,LDP)可以对可穿戴装置(wearable devices)采集到的数据进行隐私保护,每个用户都会在本地扰乱自己的数据,并且将扰动后的数据发送给数据汇聚服务器,以保护用户免受私人信息泄漏的影响.可穿戴装置采集到的数据是多维的,但是现有的针对可穿戴装置多...

Personalized Local Differential Privacy Protection Scheme for Wearable Devices

Local differential privacy(LDP) can protect the privacy of data collected by wearable devices. Each user will disturb his own data locally and send the disturbed data to the data aggregation server, to protect users from the impact of private information leakage. The data collected by the wearable device is multi-dimensional, but the existing research on personalized local differential privacy protection for the multi-dimensional data of the wearable device is relatively few and incomplete. Aiming at the problem of large noise variance in the worst case of the existing personalized local privacy schemes, the combination mechanism, combined with the random response mechanism and the piecewise mechanism, is used to disturb the numerical data, and a personalized local differential privacy protection scheme for processing numerical data is proposed. The scheme is applied to multi-dimensional numerical data, and data availability is improved through random sampling. In addition, comparative analysis and experiments are carried out on the proposed local differential privacy scheme and the existing solutions from the perspectives of theoretical analysis and simulation verification. Experimental results show that the proposed scheme is better than existing solutions in terms of noise variance in the worst case, and has better data availability.