EPIC: Efficient Privacy-Preserving Contact Tracing for Infection Detection

  title={EPIC: Efficient Privacy-Preserving Contact Tracing for Infection Detection},
  author={Thamer Altuwaiyan and Mohammad Hadian and Xiaohui Liang},
  journal={2018 IEEE International Conference on Communications (ICC)},
The world has experienced many epidemic diseases in the past, SARS, H1N1, and Ebola are some examples of these diseases. When those diseases outbreak, they spread very quickly among people and it becomes a challenge to trace the source in order to control the disease. In this paper, we propose an efficient privacy-preserving contact tracing for infection detection (EPIC) which enables users to securely upload their data to the server and later in case of one user got infected other users can… 

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