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Privacy-Preserving IoT Data Collection in Fog-Cloud Computing Environment

  • Journal of The Korea Society of Computer and Information
  • Abbr : JKSCI
  • 2019, 24(9), pp.43-49
  • DOI : 10.9708/jksci.2019.24.09.043
  • Publisher : The Korean Society Of Computer And Information
  • Research Area : Engineering > Computer Science
  • Received : June 24, 2019
  • Accepted : August 26, 2019
  • Published : September 30, 2019

Jong-Hyun Lim 1 Jong Wook Kim 1

1상명대학교

Accredited

ABSTRACT

Today, with the development of the internet of things, wearable devices related to personal health care have become widespread. Various global information and communication technology companies are developing various wearable health devices, which can collect personal health information such as heart rate, steps, and calories, using sensors built into the device. However, since individual health data includes sensitive information, the collection of irrelevant health data can lead to personal privacy issue. Therefore, there is a growing need to develop technology for collecting sensitive health data from wearable health devices, while preserving privacy. In recent years, local differential privacy (LDP), which enables sensitive data collection while preserving privacy, has attracted much attention. In this paper, we develop a technology for collecting vast amount of health data from a smartwatch device, which is one of popular wearable health devices, using local difference privacy. Experiment results with real data show that the proposed method is able to effectively collect sensitive health data from smartwatch users, while preserving privacy.

Citation status

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