PrivyTRAC: Privacy and Security Preserving Contact Tracing System
- URL: http://arxiv.org/abs/2006.08568v1
- Date: Mon, 15 Jun 2020 17:32:38 GMT
- Title: PrivyTRAC: Privacy and Security Preserving Contact Tracing System
- Authors: Ssu-Hsin Yu
- Abstract summary: 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.
- Score: 0.0
- License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
- Abstract: Smartphone location-based methods have been proposed and implemented as an
effective alternative to traditional labor intensive contact tracing methods.
However, there are serious privacy and security concerns that may impede
wide-spread adoption in many societies. Furthermore, these methods rely solely
on proximity to patients, based on Bluetooth or GPS signal for example,
ignoring lingering effects of virus, including COVID-19, present in the
environment. This results in inaccurate risk assessment and incomplete contact
tracing. A new system concept, called PrivyTRAC, preserves user privacy,
increases security and improves accuracy of smartphone contact tracing.
PrivyTRAC enhances users' and patients' privacy by letting users conduct
self-evaluation based on the risk maps download to their smartphones. No user
information is transmitted to external locations or devices, and no personally
identifiable patient information is embedded in the risk maps as they are
processed anonymized and aggregated locations of confirmed patients. The risk
maps consider both spatial proximity and temporal effects to improve the
accuracy of the infection risk estimation. Experiments conducted in the paper
illustrate improvement of PrivyTRAC over proximity based methods in terms of
true and false positives. An approach to further improve infection risk
estimation by incorporating both positive and negative local test results from
contacts of confirmed cases is also described.
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