The digital arena has proved to be vital in our progress to solve humanities’ greatest problems.
The pandemic has given rise to advanced digital contact tracing solutions that were
essential in helping to prevent the spread of the novel COVID-19 virus. New protocols
and applications were developed by different sectors to improve the efficiency of contact
tracing. As dependency and usage of these applications grew, so did the concerns on their
privacy. Many of the contact tracing solutions that were being used were not delivering
the needed protection and privacy that their users earned. That prompted the need to implement
a privacy preserving application based on the newly developed SpreadMeNot Protocol.
This paper showcases the implementation of the SpreadMeNot protocol through an
Android application StopSpread. By presenting the results performed from multiple tests
made on the application, the hope is to prove the that SpreadMeNot is a viable contact tracing
solution that can stand as being the ground for the future of privacy-preserving digital
contact tracing.
iii
| Date of Award | 2022 |
|---|
| Original language | American English |
|---|
| Awarding Institution | - HBKU College of Science and Engineering
|
|---|
StopSpread: A Privacy-Preserving Contact Tracing Application using the SpreadMeNot Protocol
Dalle, K. (Author). 2022
Student thesis: Master's Dissertation