Efficient Multi-Party Contact Tracing
Journal of Information Processing
; 30:878-887, 2022.
Article
in English
| Scopus | ID: covidwho-2198187
ABSTRACT
Since the beginning of the Covid-19 Pandemic, Contact Tracing Apps have been implemented in many countries as a way to detect if someone has been in contact with a patient within a minimum amount of time. However, most existing solutions only consider users in pairs. Since many people meet at the same time in real-life scenarios, those applications aren't able to accurately reflect the situation. Moreover, extending current schemes to a multi-party setting could cause scaling problems and place a heavier load on the device. In this paper, we propose a new Contact Tracing protocol that works in a multi-party setting. We evaluate our scheme to show its efficiency. © 2022 Information Processing Society of Japan.
Full text:
Available
Collection:
Databases of international organizations
Database:
Scopus
Language:
English
Journal:
Journal of Information Processing
Year:
2022
Document Type:
Article
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