Privacy Guidelines for Contact Tracing Applications
Manish Shukla, Rajan M A, Sachin Lodha, Gautam Shroff, Ramesh Raskar

TL;DR
This paper discusses privacy challenges in contact tracing apps, analyzes existing solutions, identifies threat actors, and proposes comprehensive privacy guidelines from multiple stakeholder perspectives to enhance trust and adoption.
Contribution
It introduces the first generic set of privacy guidelines specifically tailored for contact tracing applications, addressing various scenarios and stakeholder concerns.
Findings
Analysis of privacy implications in existing contact tracing apps
Identification of threat actors and potential misuse of data
Proposed comprehensive privacy guidelines for stakeholders
Abstract
Contact tracing is a very powerful method to implement and enforce social distancing to avoid spreading of infectious diseases. The traditional approach of contact tracing is time consuming, manpower intensive, dangerous and prone to error due to fatigue or lack of skill. Due to this there is an emergence of mobile based applications for contact tracing. These applications primarily utilize a combination of GPS based absolute location and Bluetooth based relative location remitted from user's smartphone to infer various insights. These applications have eased the task of contact tracing; however, they also have severe implication on user's privacy, for example, mass surveillance, personal information leakage and additionally revealing the behavioral patterns of the user. This impact on user's privacy leads to trust deficit in these applications, and hence defeats their purpose. In…
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Taxonomy
TopicsCOVID-19 Digital Contact Tracing · Privacy, Security, and Data Protection · Privacy-Preserving Technologies in Data
