CoAvoid: Secure, Privacy-Preserved Tracing of Contacts for Infectious Diseases

• URL: http://arxiv.org/abs/2201.08133v3
• Date: Mon, 3 Oct 2022 21:58:59 GMT
• Title: CoAvoid: Secure, Privacy-Preserved Tracing of Contacts for Infectious Diseases
• Authors: Teng Li, Siwei Yin, Runze Yu, Yebo Feng, Lei Jiao, Yulong Shen, and Jianfeng Ma
• Abstract summary: 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.
• Score: 25.014640577594566
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• Abstract: To fight against infectious diseases (e.g., SARS, COVID-19, Ebola, etc.), government agencies, technology companies and health institutes have launched various contact tracing approaches to identify and notify the people exposed to infection sources. However, existing tracing approaches can lead to severe privacy and security concerns, thereby preventing their secure and widespread use among communities. To tackle these problems, this paper proposes CoAvoid, a decentralized, privacy-preserved contact tracing system that features good dependability and usability. CoAvoid leverages the Google/Apple Exposure Notification (GAEN) API to achieve decent device compatibility and operating efficiency. It utilizes GPS along with Bluetooth Low Energy (BLE) to dependably verify user information. In addition, to enhance privacy protection, CoAvoid applies fuzzification and obfuscation measures to shelter sensitive data, making both servers and users agnostic to information of both low and high-risk populations. The evaluation demonstrates good efficacy and security of CoAvoid. 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 in various scenarios.

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)
• Contact Tracing Made Un-relay-able [18.841230080121118]
  SARS-CoV-2 pandemic put a heavy strain on the healthcare system of many countries. Governments chose different approaches to face the spread of the virus. Mobile apps allow to achieve a privacy-preserving contact tracing of citizens.
  arXiv  Detail & Related papers  (2020-10-23T20:03:31Z)
• Predicting Infectiousness for Proactive Contact Tracing [75.62186539860787]
  Large-scale digital contact tracing is a potential solution to resume economic and social activity while minimizing spread of the virus. Various DCT methods have been proposed, each making trade-offs between privacy, mobility restrictions, and public health. This paper develops and test methods that can be deployed to a smartphone to proactively predict an individual's infectiousness.
  arXiv  Detail & Related papers  (2020-10-23T17:06:07Z)
• PrivyTRAC: Privacy and Security Preserving Contact Tracing System [0.0]
  Smartphone location-based methods have been proposed and implemented as an effective alternative to traditional labor intensive contact tracing methods. There are serious privacy and security concerns that may impede wide-spread adoption in many societies. A new system concept, called PrivyTRAC, preserves user privacy, increases security and improves accuracy of smartphone contact tracing.
  arXiv  Detail & Related papers  (2020-06-15T17:32:38Z)
• 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)
• A Privacy-Preserving Solution for Proximity Tracing Avoiding Identifier Exchanging [0.0]
  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.
  arXiv  Detail & Related papers  (2020-05-20T18:48:20Z)
• 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)
• 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.