Collecting Health Data from Wearable Devices by Leveraging Salient Features in a Privacy-Preserving Manner

Su-Mee Moon; Kim Jong Wook

Journal of The Korea Society of Computer and Information

Abbr : JKSCI
2020, 25(10), pp.59-67
Publisher : The Korean Society Of Computer And Information
Research Area : Computer Science

Su-Mee Moon ¹, Kim Jong Wook ²

¹상명대학교
²상명대학교

ABSTRACT

With the development of wearable devices, individuals' health status can be checked in real time and risks can be predicted. For example, an application has been developed to detect an emergency situation of a patient with heart disease and contact a guardian through analysis of health data such as heart rate and electrocardiogram. However, health data is seriously damaging when it is leaked as it relates to life. Therefore, a method to protect personal information is essential in collecting health data, and this study proposes a method of collecting data while protecting the personal information of the data owner through a LDP(Local Differential Privacy). The previous study introduced a technique of transmitting feature point data rather than all data to a data collector as an algorithm for searching for fixed  feature points. Next, this study will explain how to improve the performance by up to 75% using an algorithm that finds the optimal number of feature points .
KEYWORDS

Health Data Collection, Data Privacy, Local Differential Privacy
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