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

Omar Adel Ibrahim; Savio Sciancalepore; Roberto Di Pietro

doi:10.1007/978-3-031-25538-0_8

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

Omar Adel Ibrahim (Corresponding author)
, Savio Sciancalepore
, Roberto Di Pietro

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

7 Citations (Scopus)

26 Downloads (Pure)

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 language	English
Title of host publication	Security and Privacy in Communication Networks
Subtitle of host publication	18th EAI International Conference, SecureComm 2022, Virtual Event, October 2022, Proceedings
Editors	Fengjun Li, Kaitai Liang, Zhiqiang Lin, Sokratis K. Katsikas
Place of Publication	Cham
Publisher	Springer
Pages	130-149
Number of pages	20
ISBN (Electronic)	978-3-031-25538-0
ISBN (Print)	978-3-031-25537-3
DOIs	https://doi.org/10.1007/978-3-031-25538-0_8
Publication status	Published - 4 Feb 2023
Event	18th EAI International Conference on Security and Privacy in Communication Networks, SecureComm 2022 - Virtual, Online Duration: 17 Oct 2022 → 19 Oct 2022

Publication series

Name	Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering (LNICST)
Volume	462
ISSN (Print)	1867-8211
ISSN (Electronic)	1867-822X

Conference

Conference	18th EAI International Conference on Security and Privacy in Communication Networks, SecureComm 2022
City	Virtual, Online
Period	17/10/22 → 19/10/22

Funding

Acknowledgements. This publication was partially supported by award GSRA6- This publication was partially supported by award GSRA6-1-0528-19046, from the QNRF-Qatar National Research Fund, a member of 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. This publication was also partially supported by the INTERSECT project, Grant No. NWA.1162.18.301, funded by Netherlands Organization for Scientific Research (NWO) and the NATO Science for Peace and Security Programme-MYP G5828 project “SeaSec: DronNets for Maritime Border and Port Security”.

Keywords

Authentication
IoT
Magnetic emissions
PUF

Access to Document

10.1007/978-3-031-25538-0_8

pdfFinal published version, 2.24 MBLicence: TAVERNE

Cite this

Ibrahim, O. A., Sciancalepore, S., & Di Pietro, R. (2023). MAG-PUF: Magnetic Physical Unclonable Functions for Device Authentication in the IoT. In F. Li, K. Liang, Z. Lin, & S. K. Katsikas (Eds.), Security and Privacy in Communication Networks: 18th EAI International Conference, SecureComm 2022, Virtual Event, October 2022, Proceedings (pp. 130-149). (Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering (LNICST); Vol. 462). Springer. https://doi.org/10.1007/978-3-031-25538-0_8

Ibrahim, Omar Adel ; Sciancalepore, Savio ; Di Pietro, Roberto. / MAG-PUF : Magnetic Physical Unclonable Functions for Device Authentication in the IoT. Security and Privacy in Communication Networks: 18th EAI International Conference, SecureComm 2022, Virtual Event, October 2022, Proceedings. editor / Fengjun Li ; Kaitai Liang ; Zhiqiang Lin ; Sokratis K. Katsikas. Cham : Springer, 2023. pp. 130-149 (Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering (LNICST)).

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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.",

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Ibrahim, OA, Sciancalepore, S & Di Pietro, R 2023, MAG-PUF: Magnetic Physical Unclonable Functions for Device Authentication in the IoT. in F Li, K Liang, Z Lin & SK Katsikas (eds), Security and Privacy in Communication Networks: 18th EAI International Conference, SecureComm 2022, Virtual Event, October 2022, Proceedings. Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering (LNICST), vol. 462, Springer, Cham, pp. 130-149, 18th EAI International Conference on Security and Privacy in Communication Networks, SecureComm 2022, Virtual, Online, 17/10/22. https://doi.org/10.1007/978-3-031-25538-0_8

MAG-PUF: Magnetic Physical Unclonable Functions for Device Authentication in the IoT. / Ibrahim, Omar Adel (Corresponding author); Sciancalepore, Savio; Di Pietro, Roberto.
Security and Privacy in Communication Networks: 18th EAI International Conference, SecureComm 2022, Virtual Event, October 2022, Proceedings. ed. / Fengjun Li; Kaitai Liang; Zhiqiang Lin; Sokratis K. Katsikas. Cham: Springer, 2023. p. 130-149 (Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering (LNICST); Vol. 462).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

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Ibrahim OA, Sciancalepore S, Di Pietro R. MAG-PUF: Magnetic Physical Unclonable Functions for Device Authentication in the IoT. In Li F, Liang K, Lin Z, Katsikas SK, editors, Security and Privacy in Communication Networks: 18th EAI International Conference, SecureComm 2022, Virtual Event, October 2022, Proceedings. Cham: Springer. 2023. p. 130-149. (Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering (LNICST)). doi: 10.1007/978-3-031-25538-0_8