Efficient Multi-Party Contact Tracing

De Goyon, Mathieu; Miyaji, Atsuko; Tian, Yangguang

2021 9th International Symposium on Computing and Networking, CANDAR 2021, 2021, 10-18

Number of Access:229（2025-06-25 13:47 Counts）

Identifier to cite or link to this item: https://hdl.handle.net/11094/89663

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Title
Efficient Multi-Party Contact Tracing
Creator
CreatorName
De Goyon, Mathieu
NRID
1000010313701 1000010313701
researchmap permalink
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Scopus Author ID
35484680100 35484680100
CreatorName
Miyaji, Atsuko
CreatorName
Tian, Yangguang
Subject
Contact Tracing
Multi-Signature
System Security
Description
M. de Goyon, A. Miyaji and Y. Tian, "Efficient Multi-Party Contact Tracing," in 2021 Ninth International Symposium on Computing and Networking (CANDAR), Matsue, Japan, 2021 pp. 10-18. doi: 10.1109/CANDAR53791.2021.00010.
Abstract
Since the beginning of the Covid-19 Pandemic, many Countries adopted Contact Tracing Apps as an automatic way to trace if someone has been in contact with a Covid-19 patient. However, most existing solutions consider two party settings only. Since many people meet at the same time in real-life scenarios, one cannot extend current schemes to multi-party settings because they will not scale well and burden 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.
Publisher
Institute of Electrical and Electronics Engineers
Source Title
2021 9th International Symposium on Computing and Networking, CANDAR 2021
Page
10-18
Date of Issued
2021
Language
English
Handle URL
https://hdl.handle.net/11094/89663
Relation.isVersionOf
DOI (Publisher Version)
https://doi.org/10.1109/CANDAR53791.2021.00010
Relation.isPartOf
ISBN
9781665442466
Access Rights
open access
CopyRight
© 2021 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
oaire:version
Accepted Manuscript
Category
会議発表論文 Conference Paper