Research Article
MAG-PUF: Magnetic Physical Unclonable Functions for Device Authentication in the IoT
@INPROCEEDINGS{10.1007/978-3-031-25538-0_8, author={Omar Adel Ibrahim and Savio Sciancalepore and Roberto Di Pietro}, title={MAG-PUF: Magnetic Physical Unclonable Functions for Device Authentication in the IoT}, proceedings={Security and Privacy in Communication Networks. 18th EAI International Conference, SecureComm 2022, Virtual Event, October 2022, Proceedings}, proceedings_a={SECURECOMM}, year={2023}, month={2}, keywords={Magnetic emissions PUF Authentication IoT}, doi={10.1007/978-3-031-25538-0_8} }- Omar Adel Ibrahim
Savio Sciancalepore
Roberto Di Pietro
Year: 2023
MAG-PUF: Magnetic Physical Unclonable Functions for Device Authentication in the IoT
SECURECOMM
Springer
DOI: 10.1007/978-3-031-25538-0_8
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.
