Abstract
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.
Original language | English (US) |
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Title of host publication | WiSec 2022 - Proceedings of the 15th ACM Conference on Security and Privacy in Wireless and Mobile Networks |
Publisher | Association for Computing Machinery, Inc |
Pages | 290-291 |
Number of pages | 2 |
ISBN (Electronic) | 9781450392167 |
DOIs | |
State | Published - May 16 2022 |
Event | 15th ACM Conference on Security and Privacy in Wireless and Mobile Networks, WiSec 2022 - Virtual, Online, United States Duration: May 16 2022 → May 19 2022 |
Publication series
Name | WiSec 2022 - Proceedings of the 15th ACM Conference on Security and Privacy in Wireless and Mobile Networks |
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Conference
Conference | 15th ACM Conference on Security and Privacy in Wireless and Mobile Networks, WiSec 2022 |
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Country/Territory | United States |
City | Virtual, Online |
Period | 05/16/22 → 05/19/22 |
Bibliographical note
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.
Keywords
- iot security
- puf
- unintential magnetic emissions
ASJC Scopus subject areas
- Computer Networks and Communications
- Computer Science Applications
- Information Systems
- Software
- Safety Research