Up-to-the-Minute Privacy Policies via Gossips in Participatory Epidemiological Studies

Aakash Sharma*, Thomas Bye Nilsen, Katja Pauline Czerwinska, Daria Onitiu, Lars Brenna, Dag Johansen, Håvard D. Johansen

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

3 Citations (Scopus)
24 Downloads (Pure)


Researchers and researched populations are actively involved in participatory epidemiology. Such studies collect many details about an individual. Recent developments in statistical inferences can lead to sensitive information leaks from seemingly insensitive data about individuals. Typical safeguarding mechanisms are vetted by ethics committees; however, the attack models are constantly evolving. Newly discovered threats, change in applicable laws or an individual's perception can raise concerns that affect the study. Addressing these concerns is imperative to maintain trust with the researched population. We are implementing Lohpi: an infrastructure for building accountability in data processing for participatory epidemiology. We address the challenge of data-ownership by allowing institutions to host data on their managed servers while being part of Lohpi. We update data access policies using gossips. We present Lohpi as a novel architecture for research data processing and evaluate the dissemination, overhead, and fault-tolerance.
Original languageEnglish
Article number624424
Pages (from-to)1-14
Number of pages14
JournalFrontiers in Big Data
Publication statusPublished - 13 May 2021


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