A Privacy-Preserving Solution for Proximity Tracing Avoiding Identifier Exchanging

• URL: http://arxiv.org/abs/2005.10309v1
• Date: Wed, 20 May 2020 18:48:20 GMT
• Title: A Privacy-Preserving Solution for Proximity Tracing Avoiding Identifier Exchanging
• Authors: Francesco Buccafurri, Vincenzo De Angelis, Cecilia Labrini
• Abstract summary: We propose a solution leveraging GPS to detect proximity, and Bluetooth to improve accuracy, without enabling exchange of identifiers. Unlike related existing solutions, no complex cryptographic mechanism is adopted, while ensuring that the server does not learn anything about locations of users.
• Score: 0.0
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• Abstract: Digital contact tracing is one of the actions useful, in combination with other measures, to manage an epidemic diffusion of an infection disease in an after-lock-down phase. This is a very timely issue, due to the pandemic of COVID-19 we are unfortunately living. Apps for contact tracing aim to detect proximity of users and to evaluate the related risk in terms of possible contagious. Existing approaches leverage Bluetooth or GPS, or their combination, even though the prevailing approach is Bluetooth-based and relies on a decentralized model requiring the mutual exchange of ephemeral identifiers among users' smartphones. Unfortunately, a number of security and privacy concerns exist in this kind of solutions, mainly due to the exchange of identifiers, while GPS-based solutions (inherently centralized) may suffer from threats concerning massive surveillance. In this paper, we propose a solution leveraging GPS to detect proximity, and Bluetooth only to improve accuracy, without enabling exchange of identifiers. Unlike related existing solutions, no complex cryptographic mechanism is adopted, while ensuring that the server does not learn anything about locations of users.

Related papers

• AdvGPS: Adversarial GPS for Multi-Agent Perception Attack [47.59938285740803]
  This study investigates whether specific GPS signals can easily mislead the multi-agent perception system. We introduce textscAdvGPS, a method capable of generating adversarial GPS signals which are also stealthy for individual agents within the system. Our experiments on the OPV2V dataset demonstrate that these attacks substantially undermine the performance of state-of-the-art methods.
  arXiv  Detail & Related papers  (2024-01-30T23:13:41Z)
• Cooperative Probabilistic Trajectory Forecasting under Occlusion [110.4960878651584]
  Occlusion-aware planning often requires communicating the information of the occluded object to the ego agent for safe navigation. In this paper, we design an end-to-end network that cooperatively estimates the current states of occluded pedestrian in the reference frame of ego agent. We show that the uncertainty-aware trajectory prediction of occluded pedestrian by the ego agent is almost similar to the ground truth trajectory assuming no occlusion.
  arXiv  Detail & Related papers  (2023-12-06T05:36:52Z)
• CoAvoid: Secure, Privacy-Preserved Tracing of Contacts for Infectious Diseases [25.014640577594566]
  This paper proposes CoAvoid, a decentralized, privacy-preserved contact tracing system. CoAvoid leverages the Google/Apple Exposure Notification (GAEN) API to achieve decent device compatibility and operating efficiency. Compared with four state-of-art contact tracing applications, CoAvoid can reduce upload data by at least 90% and simultaneously resist wormhole and replay attacks.
  arXiv  Detail & Related papers  (2022-01-20T12:19:21Z)
• Biometrics: Trust, but Verify [49.9641823975828]
  Biometric recognition has exploded into a plethora of different applications around the globe. There are a number of outstanding problems and concerns pertaining to the various sub-modules of biometric recognition systems.
  arXiv  Detail & Related papers  (2021-05-14T03:07:25Z)
• BU-Trace: A Permissionless Mobile System for Privacy-Preserving Intelligent Contact Tracing [40.44797233933835]
  coronavirus disease 2019 (COVID-19) pandemic has caused an unprecedented health crisis for the global. Despite intensive research on digital contact tracing, existing solutions can hardly meet users' requirements on privacy and convenience. We propose BU-Trace, a permissionless mobile system for privacy-preserving intelligent contact tracing based on QR code and NFC technologies.
  arXiv  Detail & Related papers  (2021-01-24T06:11:09Z)
• Epidemic Exposure Notification with Smartwatch: A Proximity-Based Privacy-Preserving Approach [5.838266102141282]
  Wireless technologies can play a key role in assisting contact tracing to quickly halt a local infection outbreak and prevent further spread. We present a wearable proximity and exposure notification solution based on a smartwatch that also promotes safe physical distancing in business, hospitality, or recreational facilities.
  arXiv  Detail & Related papers  (2020-07-08T19:55:33Z)
• Mind the GAP: Security & Privacy Risks of Contact Tracing Apps [75.7995398006171]
  Google and Apple have jointly provided an API for exposure notification in order to implement decentralized contract tracing apps using Bluetooth Low Energy. We demonstrate that in real-world scenarios the GAP design is vulnerable to (i) profiling and possibly de-anonymizing persons, and (ii) relay-based wormhole attacks that basically can generate fake contacts.
  arXiv  Detail & Related papers  (2020-06-10T16:05:05Z)
• Decentralized Privacy-Preserving Proximity Tracing [50.27258414960402]
  DP3T provides a technological foundation to help slow the spread of SARS-CoV-2. System aims to minimise privacy and security risks for individuals and communities.
  arXiv  Detail & Related papers  (2020-05-25T12:32:02Z)
• Digital Ariadne: Citizen Empowerment for Epidemic Control [55.41644538483948]
  The COVID-19 crisis represents the most dangerous threat to public health since the H1N1 pandemic of 1918. Technology-assisted location and contact tracing, if broadly adopted, may help limit the spread of infectious diseases. We present a tool, called 'diAry' or 'digital Ariadne', based on voluntary location and Bluetooth tracking on personal devices.
  arXiv  Detail & Related papers  (2020-04-16T15:53:42Z)
• Assessing Disease Exposure Risk with Location Data: A Proposal for Cryptographic Preservation of Privacy [10.527218766532192]
  Governments and researchers are implementing digital contact tracing solutions to stem the spread of infectious disease, namely COVID-19. Many of these solutions threaten individual rights and privacy. We offer an alternative approach to assess and communicate users' risk of exposure to an infectious disease while preserving individual privacy.
  arXiv  Detail & Related papers  (2020-03-31T17:56:30Z)

This list is automatically generated from the titles and abstracts of the papers in this site.

This site does not guarantee the quality of this site (including all information) and is not responsible for any consequences.