Big Data and Cognitive Computing (Nov 2022)

Security and Privacy Threats and Requirements for the Centralized Contact Tracing System in Korea

  • Sungchae Park,
  • Heung-Youl Youm

DOI
https://doi.org/10.3390/bdcc6040143
Journal volume & issue
Vol. 6, no. 4
p. 143

Abstract

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As COVID-19 became a pandemic worldwide, contact tracing technologies and information systems were developed for quick control of infectious diseases in both the private and public sectors. This study aims to strengthen the data subject’s security, privacy, and rights in a centralized contact tracing system adopted for a quick response to the spread of infectious diseases due to climate change, increasing cross-border movement, etc. There are several types of contact tracing systems: centralized, decentralized, and hybrid models. This study demonstrates the privacy model for a centralized contact tracing system, focusing on the case in Korea. Hence, we define security and privacy threats to the centralized contact tracing system. The threat analysis involved mapping the threats in ITU-T X.1121; in order to validate the defined threats, we used LIDDUN and STRIDE to map the threats. In addition, this study provides security requirements for each threat defined for more secure utilization of the centralized contact tracing system.

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