Paper 2020/949
HABIT: Hardware-Assisted Bluetooth-based Infection Tracking
Nathan Manohar, Peter Manohar, and Rajit Manohar
Abstract
The ongoing COVID-19 pandemic has caused health organizations to consider using digital contact tracing to help monitor and contain the spread of COVID-19. Due to this urgent need, many different groups have developed secure and private contact tracing phone apps. However, these apps have not been widely deployed, in part because they do not meet the needs of healthcare officials. We present HABIT, a contact tracing system using a wearable hardware device designed specifically with the goals of public health officials in mind. Unlike current approaches, we use a dedicated hardware device instead of a phone app for proximity detection. Our use of a hardware device allows us to substantially improve the accuracy of proximity detection, achieve strong security and privacy guarantees that cannot be compromised by remote attackers, and have a more usable system, while only making our system minimally harder to deploy compared to a phone app in centralized organizations such as hospitals, universities, and companies. The efficacy of our system is currently being evaluated in a pilot study at Yale University in collaboration with the Yale School of Public Health.
Metadata
- Available format(s)
-
PDF
- Category
- Applications
- Publication info
- Preprint. MINOR revision.
- Keywords
- contact tracingCOVID-19privacyhardwareaccuracy
- Contact author(s)
-
nmanohar @ cs ucla edu
pmanohar @ cs cmu edu
rajit manohar @ yale edu - History
- 2020-08-04: received
- Short URL
- https://ia.cr/2020/949
- License
-
CC BY
BibTeX
@misc{cryptoeprint:2020/949,
author = {Nathan Manohar and Peter Manohar and Rajit Manohar},
title = {HABIT: Hardware-Assisted Bluetooth-based Infection Tracking},
howpublished = {Cryptology ePrint Archive, Paper 2020/949},
year = {2020},
note = {\url{https://eprint.iacr.org/2020/949}},
url = {https://eprint.iacr.org/2020/949}
}
