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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 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.
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.
| Original language | English |
|---|---|
| Pages (from-to) | 330–342 |
| Journal | Proceedings on Privacy Enhancing Technologies |
| Volume | 2024 |
| Issue number | 1 |
| DOIs | |
| Publication status | Published - 2024 |
| Event | 24th Privacy Enhancing Technologies Symposium, PETS 2024 - Bristol, United Kingdom Duration: 2024 Jul 15 → 2024 Jul 20 |
Subject classification (UKÄ)
- Computer and Information Sciences
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WASP: Wallenberg AI, Autonomous Systems and Software Program at Lund University
Årzén, K.-E. (Researcher)
2015/10/01 → 2029/12/31
Project: Research