MAG-PUF: Magnetic Physical Unclonable Functions for Device Authentication in the IoT: Magnetic Physical Unclonable Functions for Device Authentication in the IoT

Omar Adel Ibrahim, Savio Sciancalepore, Roberto Di Pietro

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

3 Scopus citations

Abstract

Authenticating Internet of Things (IoT) devices is still a challenge, especially in deployments involving low-cost constrained nodes. The cited class of IoT devices hardly support dynamic re-keying solutions, hence being vulnerable to several attacks. To provide a viable general-purpose solution, in this paper we propose MAG-PUF, a novel lightweight authentication scheme based on the usage of unintentional magnetic emissions generated by IoT devices as Physical Unclonable Functions (PUFs). Specifically, through MAG-PUF, we collect unintentional magnetic emissions produced by the IoT devices at run-time while executing pre-defined reference functions, and we verify the match of such emissions with the profiles collected at enrolment time, providing device authentication. MAG-PUF enjoys unique flexibility, allowing the selection of an unlimited number and types of reference functions. We extensively assessed the performance of MAG-PUF through experiments on 25 Arduino devices and a set of exemplary reference functions. We obtained an authentication accuracy above 99%, hence proving the feasibility of using code-driven magnetic emissions as a lightweight, efficient, and robust PUF for IoT devices.
Original languageEnglish (US)
Title of host publicationLecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST
EditorsFengjun Li, Kaitai Liang, Zhiqiang Lin, Sokratis K. Katsikas
PublisherSpringer Science and Business Media Deutschland GmbH
Pages130-149
Number of pages20
ISBN (Print)9783031255373
DOIs
StatePublished - 2023
Externally publishedYes
Event18th EAI International Conference on Security and Privacy in Communication Networks, SecureComm 2022 - Virtual, Online
Duration: Oct 17 2022Oct 19 2022

Publication series

NameLecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST
Volume462 LNICST
ISSN (Print)1867-8211
ISSN (Electronic)1867-822X

Conference

Conference18th EAI International Conference on Security and Privacy in Communication Networks, SecureComm 2022
CityVirtual, Online
Period10/17/2210/19/22

Keywords

  • Authentication
  • IoT
  • Magnetic emissions
  • PUF

ASJC Scopus subject areas

  • Computer Networks and Communications

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