TY - GEN
T1 - MAG-PUF - Authenticating IoT Devices via Magnetic Physical Unclonable Functions
AU - Ibrahim, Omar Adel
AU - Sciancalepore, Savio
AU - Di Pietro, Roberto
N1 - Funding Information:
This publication was partially supported by award GSRA6-1-0528-19046, from the QNRF-Qatar National Research Fund, a member of The Qatar Foundation. The information and views set out in this publication are those of the authors and do not necessarily reflect the official opinion of the QNRF.
Publisher Copyright:
© 2022 Owner/Author.
PY - 2022/5/16
Y1 - 2022/5/16
N2 - Authenticating Internet of Things (IoT) devices is still a defiant task, despite the remarkable technological advancement achieved in the last few years. The issue is especially challenging in scenarios involving low-cost constrained nodes, hardly supporting dynamic re-keying algorithms. To provide a viable general-purpose solution, we propose MAG-PUF: a novel and lightweight authentication scheme using unintentional magnetic emissions produced by IoT devices to implement Physical Unclonable Functions (PUFs). Our extensive experimental campaign, involving 25 Arduino boards and four example reference functions, unveiled an outstanding authentication accuracy of over 99%, proving the feasibility of using code-driven magnetic emissions as a lightweight, efficient, and robust PUF for IoT deployments.
AB - Authenticating Internet of Things (IoT) devices is still a defiant task, despite the remarkable technological advancement achieved in the last few years. The issue is especially challenging in scenarios involving low-cost constrained nodes, hardly supporting dynamic re-keying algorithms. To provide a viable general-purpose solution, we propose MAG-PUF: a novel and lightweight authentication scheme using unintentional magnetic emissions produced by IoT devices to implement Physical Unclonable Functions (PUFs). Our extensive experimental campaign, involving 25 Arduino boards and four example reference functions, unveiled an outstanding authentication accuracy of over 99%, proving the feasibility of using code-driven magnetic emissions as a lightweight, efficient, and robust PUF for IoT deployments.
KW - iot security
KW - puf
KW - unintential magnetic emissions
UR - http://www.scopus.com/inward/record.url?scp=85130772953&partnerID=8YFLogxK
U2 - 10.1145/3507657.3529656
DO - 10.1145/3507657.3529656
M3 - Conference contribution
AN - SCOPUS:85130772953
T3 - WiSec 2022 - Proceedings of the 15th ACM Conference on Security and Privacy in Wireless and Mobile Networks
SP - 290
EP - 291
BT - WiSec 2022 - Proceedings of the 15th ACM Conference on Security and Privacy in Wireless and Mobile Networks
PB - Association for Computing Machinery, Inc
T2 - 15th ACM Conference on Security and Privacy in Wireless and Mobile Networks, WiSec 2022
Y2 - 16 May 2022 through 19 May 2022
ER -