CoVista: A Unified View on Privacy Sensitive Mobile Contact Tracing Effort

• URL: http://arxiv.org/abs/2005.13164v1
• Date: Wed, 27 May 2020 05:09:41 GMT
• Title: CoVista: A Unified View on Privacy Sensitive Mobile Contact Tracing Effort
• Authors: David Culler, Prabal Dutta, Gabe Fierro, Joseph E. Gonzalez, Nathan Pemberton, Johann Schleier-Smith, K. Shankari, Alvin Wan, Thomas Zachariah
• Abstract summary: The software created by Apple and Google enables individuals to track their own potential exposure through collated exposure notifications. The same software prohibits location tracking, denying key information needed by public health officials for robust contract tracing. This information is needed to treat and isolate COVID-19 positive people, identify transmission hotspots, and protect against continued spread of infection.
• Score: 16.33086478979547
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• Abstract: Governments around the world have become increasingly frustrated with tech giants dictating public health policy. The software created by Apple and Google enables individuals to track their own potential exposure through collated exposure notifications. However, the same software prohibits location tracking, denying key information needed by public health officials for robust contract tracing. This information is needed to treat and isolate COVID-19 positive people, identify transmission hotspots, and protect against continued spread of infection. In this article, we present two simple ideas: the lighthouse and the covid-commons that address the needs of public health authorities while preserving the privacy-sensitive goals of the Apple and google exposure notification protocols.

Related papers

• Protect Your Score: Contact Tracing With Differential Privacy Guarantees [68.53998103087508]
  We argue that privacy concerns currently hold deployment back. We propose a contact tracing algorithm with differential privacy guarantees against this attack. Especially for realistic test scenarios, we achieve a two to ten-fold reduction in the infection rate of the virus.
  arXiv  Detail & Related papers  (2023-12-18T11:16:33Z)
• 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)
• Privacy-Preserving Infection Exposure Notification without Trust in Third Parties [0.0]
  We propose a privacy-preserving exposure notification under situations where none of the middle entities can be trusted. We show that the level of verifiability is much higher with our proposed design if a consumer group were to verify the privacy protections of the deployed systems.
  arXiv  Detail & Related papers  (2021-03-13T09:47:45Z)
• A Critique of the Google Apple Exposure Notification (GAEN) Framework [1.7513645771137178]
  Digital contact tracing has been proposed as a tool to support the health authorities in their quest to determine who has been in close and sustained contact with a person infected by the coronavirus. In April 2020 Google and Apple released the Google Apple Exposure Notification framework, as a decentralised and more privacy friendly platform for contact tracing. We argue that this creates a dormant functionality for mass surveillance at the operating system layer.
  arXiv  Detail & Related papers  (2020-12-09T15:05:59Z)
• Discussing Privacy and Surveillance on Twitter: A Case Study of COVID-19 [2.0305676256390934]
  Technology is uniquely positioned to help us analyze large amounts of information to provide valuable insight during widespread public health concerns. Apple and Google have recently launched tools for contact tracing. It might be useful to highlight the privacy concerns of users, should they exist, through analysis of Twitter data and information sharing policies during unprecedented public health outbreaks.
  arXiv  Detail & Related papers  (2020-06-11T20:56:55Z)
• 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)
• COVI White Paper [67.04578448931741]
  Contact tracing is an essential tool to change the course of the Covid-19 pandemic. We present an overview of the rationale, design, ethical considerations and privacy strategy of COVI,' a Covid-19 public peer-to-peer contact tracing and risk awareness mobile application developed in Canada.
  arXiv  Detail & Related papers  (2020-05-18T07:40:49Z)
• 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)
• Give more data, awareness and control to individual citizens, and they will help COVID-19 containment [74.10257867142049]
  Contact-tracing apps are being proposed for large scale adoption by many countries. A centralized approach raises concerns about citizens' privacy and needlessly strong digital surveillance. We advocate a decentralized approach, where both contact and location data are collected exclusively in individual citizens' "personal data stores"
  arXiv  Detail & Related papers  (2020-04-10T20:30:37Z)
• 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.