TY - JOUR
T1 - IoTrace: A Flexible, Efficient, and Privacy-Preserving IoT-Enabled Architecture for Contact Tracing
AU - Tedeschi, Pietro
AU - Bakiras, Spiridon
AU - Di Pietro, Roberto
N1 - Generated from Scopus record by KAUST IRTS on 2023-09-20
PY - 2021/6/1
Y1 - 2021/6/1
N2 - Contact tracing promises to help fight the spread of COVID-19 via an early detection of possible contagion events. To this end, most existing solutions share the following architecture: smartphones continuously broadcast random beacons that are intercepted by nearby devices and stored into their local contact logs. In this article, we propose an IoT-enabled architecture for contact tracing that relaxes the smartphone-centric assumption, and provides a solution that enjoys the following features: it reduces the overhead on the end user to the bare minimum - the mobile device only broadcasts its beacons; it provides the user with a degree of privacy not achieved by competing solutions - even in the most privacy adverse scenario, the solution provides k-anonymity; and it is flexible: the same architecture can be configured to support several models - ranging from fully decentralized to fully centralized ones - and the system parameters can be tuned to support the tracing of several social interaction models. What is more, our proposal can also be adopted to tackle future human-proximity transmissible diseases. Finally, we also highlight open issues and discuss a number of future research directions at the intersection of IoT and contact tracing.
AB - Contact tracing promises to help fight the spread of COVID-19 via an early detection of possible contagion events. To this end, most existing solutions share the following architecture: smartphones continuously broadcast random beacons that are intercepted by nearby devices and stored into their local contact logs. In this article, we propose an IoT-enabled architecture for contact tracing that relaxes the smartphone-centric assumption, and provides a solution that enjoys the following features: it reduces the overhead on the end user to the bare minimum - the mobile device only broadcasts its beacons; it provides the user with a degree of privacy not achieved by competing solutions - even in the most privacy adverse scenario, the solution provides k-anonymity; and it is flexible: the same architecture can be configured to support several models - ranging from fully decentralized to fully centralized ones - and the system parameters can be tuned to support the tracing of several social interaction models. What is more, our proposal can also be adopted to tackle future human-proximity transmissible diseases. Finally, we also highlight open issues and discuss a number of future research directions at the intersection of IoT and contact tracing.
UR - https://ieeexplore.ieee.org/document/9475175/
UR - http://www.scopus.com/inward/record.url?scp=85104052817&partnerID=8YFLogxK
U2 - 10.1109/MCOM.001.2000729
DO - 10.1109/MCOM.001.2000729
M3 - Article
SN - 1558-1896
VL - 59
SP - 82
EP - 88
JO - IEEE Communications Magazine
JF - IEEE Communications Magazine
IS - 6
ER -
