TY - GEN
T1 - COVIDFREE App
T2 - 2020 IEEE International Symposium on Technology and Society, ISTAS 2020
AU - Mimo, Edgard Musafiri
AU - McDaniel, Troy
N1 - Funding Information:
ACKNOWLEDGMENT The authors thank Arizona State University and the National Science Foundation for their funding support under Grant No. 1828010.
Publisher Copyright:
© 2020 IEEE.
PY - 2020/11/12
Y1 - 2020/11/12
N2 - Governments all over the world are considering employing mobile contact tracing applications to automatically manage, trace, and investigate recent interactions of newly tested COVID-19 infected individuals. The prospective use of such applications has produced several debates surrounding confidentiality, security, data supervision, closeness approximation algorithms, and cyber-attack susceptibility. This paper discusses these concerns in the context of a novel smartphone application architecture, proposed here, that gives users more control and privacy during contact tracing. The proposed application is termed COVIDFREE App, which is aimed at enhancing users' situational awareness through communication of safe and unsafe locations. An overview of the app's architectural design and functionality are presented, including a newly developed Overall Risk Density Safety Factor calculation inspired by COVID-19 density risks and factors of users based on health requirements and several customizable user-specific scenarios. Finally, the paper outlines the benefit to funding and developing contact tracing apps, such as the COVIDFRE App, and discusses advantages of such applications including citizen awareness, relief, and preparedness.
AB - Governments all over the world are considering employing mobile contact tracing applications to automatically manage, trace, and investigate recent interactions of newly tested COVID-19 infected individuals. The prospective use of such applications has produced several debates surrounding confidentiality, security, data supervision, closeness approximation algorithms, and cyber-attack susceptibility. This paper discusses these concerns in the context of a novel smartphone application architecture, proposed here, that gives users more control and privacy during contact tracing. The proposed application is termed COVIDFREE App, which is aimed at enhancing users' situational awareness through communication of safe and unsafe locations. An overview of the app's architectural design and functionality are presented, including a newly developed Overall Risk Density Safety Factor calculation inspired by COVID-19 density risks and factors of users based on health requirements and several customizable user-specific scenarios. Finally, the paper outlines the benefit to funding and developing contact tracing apps, such as the COVIDFRE App, and discusses advantages of such applications including citizen awareness, relief, and preparedness.
KW - contact tracing
KW - COVID-l9
KW - COVIDFREE App
KW - location tracking
KW - location-based services
KW - social distancing
UR - http://www.scopus.com/inward/record.url?scp=85113251771&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85113251771&partnerID=8YFLogxK
U2 - 10.1109/ISTAS50296.2020.9462186
DO - 10.1109/ISTAS50296.2020.9462186
M3 - Conference contribution
AN - SCOPUS:85113251771
T3 - International Symposium on Technology and Society, Proceedings
SP - 452
EP - 456
BT - Proceedings of the 2020 IEEE International Symposium on Technology and Society, ISTAS 2020
PB - Institute of Electrical and Electronics Engineers Inc.
Y2 - 12 November 2020 through 15 November 2020
ER -