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DP-ACT: Decentralized Privacy-Preserving Asymmetric Digital Contact Tracing

Abtahi Fahliani, Azra LU ; Payer, Mathias and Aminifar, Amir LU orcid (2023) 24th Privacy Enhancing Technologies Symposium, PETS 2024
Abstract
Digital contact tracing substantially improves the identification of high-risk contacts during pandemics. Despite several attempts to encourage people to use digital contact-tracing applications by developing and rolling out decentralized privacy-preserving protocols (broadcasting pseudo-random IDs over Bluetooth Low Energy-BLE), the adoption of digital contact tracing mobile applications has been limited, with privacy being one of the main concerns.
In this paper, we propose a decentralized privacy-preserving contact tracing protocol, called DP-ACT, with both active and passive participants. Active participants broadcast BLE beacons with pseudo-random IDs, while passive participants model conservative users who do not broadcast BLE... (More)
Digital contact tracing substantially improves the identification of high-risk contacts during pandemics. Despite several attempts to encourage people to use digital contact-tracing applications by developing and rolling out decentralized privacy-preserving protocols (broadcasting pseudo-random IDs over Bluetooth Low Energy-BLE), the adoption of digital contact tracing mobile applications has been limited, with privacy being one of the main concerns.
In this paper, we propose a decentralized privacy-preserving contact tracing protocol, called DP-ACT, with both active and passive participants. Active participants broadcast BLE beacons with pseudo-random IDs, while passive participants model conservative users who do not broadcast BLE beacons but still listen to the broadcasted BLE beacons.
We analyze the proposed protocol and discuss a set of interesting properties. The proposed protocol is evaluated using both a face-to-face individual interaction dataset and five real-world BLE datasets. Our simulation results demonstrate that the proposed DP-ACT protocol outperforms the state-of-the-art protocols in the presence of passive users. (Less)
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author
; and
organization
publishing date
type
Chapter in Book/Report/Conference proceeding
publication status
in press
subject
host publication
The 24th Privacy Enhancing Technologies Symposium (PETS)
conference name
24th Privacy Enhancing Technologies Symposium, PETS 2024
conference location
Bristol, United Kingdom
conference dates
2024-07-15 - 2024-07-20
project
WASP: Wallenberg AI, Autonomous Systems and Software Program at Lund University
language
English
LU publication?
yes
id
9395fbc4-54f8-419d-afad-806fcc5e4c42
date added to LUP
2023-09-13 15:28:05
date last changed
2023-09-21 09:04:12
@inproceedings{9395fbc4-54f8-419d-afad-806fcc5e4c42,
  abstract     = {{Digital contact tracing substantially improves the identification of high-risk contacts during pandemics. Despite several attempts to encourage people to use digital contact-tracing applications by developing and rolling out decentralized privacy-preserving protocols (broadcasting pseudo-random IDs over Bluetooth Low Energy-BLE), the adoption of digital contact tracing mobile applications has been limited, with privacy being one of the main concerns.<br/>In this paper, we propose a decentralized privacy-preserving contact tracing protocol, called DP-ACT, with both active and passive participants. Active participants broadcast BLE beacons with pseudo-random IDs, while passive participants model conservative users who do not broadcast BLE beacons but still listen to the broadcasted BLE beacons. <br/>We analyze the proposed protocol and discuss a set of interesting properties. The proposed protocol is evaluated using both a face-to-face individual interaction dataset and five real-world BLE datasets. Our simulation results demonstrate that the proposed DP-ACT protocol outperforms the state-of-the-art protocols in the presence of passive users.}},
  author       = {{Abtahi Fahliani, Azra and Payer, Mathias and Aminifar, Amir}},
  booktitle    = {{The 24th Privacy Enhancing Technologies Symposium (PETS)}},
  language     = {{eng}},
  title        = {{DP-ACT: Decentralized Privacy-Preserving Asymmetric Digital Contact Tracing}},
  url          = {{https://lup.lub.lu.se/search/files/158578231/PETs_32_.pdf}},
  year         = {{2023}},
}