Private Reverse Top-k Algorithms Applied on Public Data of COVID-19 in the State of Ceará


  • Maria de Lourdes M. Silva Federal University of Ceará
  • Iago C. Chaves Federal University of Ceará
  • Javam C. Machado Federal University of Ceará



COVID-19, differentially private reverse top-k approaches, utility


In this article we propose a differentially private reverse top-k query. Our strategy allows obtaining the less frequent data according to a search criteria, with a high guarantee of privacy of the individuals who contributed with personal data in the original database. We apply our strategy on public data for COVID-19 in the State of Ceará using two different queries. Our experimental results show that the result of the proposed top-k query returns a high degree of similarity to the result of a conventional top-k query, when the chosen budget is suitable, providing useful results for researchers, while ensuring a low probability of re-identification of individuals arising from the properties of differential privacy.


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How to Cite

M. Silva, M. de L., C. Chaves, I., & C. Machado, J. (2021). Private Reverse Top-k Algorithms Applied on Public Data of COVID-19 in the State of Ceará. Journal of Information and Data Management, 12(5).



SBBD 2020 Short papers - Extended Papers