DP-ACT: Decentralized Privacy-Preserving Asymmetric Digital Contact Tracing
(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)
Please use this url to cite or link to this publication:
https://lup.lub.lu.se/record/9395fbc4-54f8-419d-afad-806fcc5e4c42
- author
- Abtahi Fahliani, Azra LU ; Payer, Mathias and Aminifar, Amir LU
- organization
- publishing date
- 2023
- 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}}, }