MAG-PUF - Authenticating IoT Devices via Magnetic Physical Unclonable Functions

Omar Adel Ibrahim, Savio Sciancalepore, Roberto Di Pietro

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

2 Scopus citations

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 languageEnglish (US)
Title of host publicationWiSec 2022 - Proceedings of the 15th ACM Conference on Security and Privacy in Wireless and Mobile Networks
PublisherAssociation for Computing Machinery, Inc
Pages290-291
Number of pages2
ISBN (Electronic)9781450392167
DOIs
StatePublished - May 16 2022
Event15th ACM Conference on Security and Privacy in Wireless and Mobile Networks, WiSec 2022 - Virtual, Online, United States
Duration: May 16 2022May 19 2022

Publication series

NameWiSec 2022 - Proceedings of the 15th ACM Conference on Security and Privacy in Wireless and Mobile Networks

Conference

Conference15th ACM Conference on Security and Privacy in Wireless and Mobile Networks, WiSec 2022
Country/TerritoryUnited States
CityVirtual, Online
Period05/16/2205/19/22

Keywords

  • iot security
  • puf
  • unintential magnetic emissions

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Computer Science Applications
  • Information Systems
  • Software
  • Safety Research

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