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

  • Journal of The Korea Society of Computer and Information
  • Abbr : JKSCI
  • 2020, 25(10), pp.59-67
  • DOI : 10.9708/jksci.2020.25.10.059
  • Publisher : The Korean Society Of Computer And Information
  • Research Area : Engineering > Computer Science
  • Received : August 11, 2020
  • Accepted : September 20, 2020
  • Published : October 30, 2020

Su-Mee Moon 1 Jong Wook Kim 1

1상명대학교

Accredited

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 .

Citation status

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