126418 20241125101137.0 doi 10.3390/s23094410 sideral 133915 ART-2023-133915 eng Aparicio-Téllez, Raúl Universidad de Zaragoza (orcid)0000-0003-0365-6702 Oscillator Selection Strategies to Optimize a Physically Unclonable Function for IoT Systems Security 2023 Access copy available to the general public Unrestricted Physically unclonable functions avoid storing secret information in non-volatile memories and only generate a key when it is necessary for an application, rising as a promising solution for the authentication of resource-constrained IoT devices. However, the need to minimize the predictability of physically unclonable functions is evident. The main purpose of this work is to determine the optimal way to construct a physically unclonable function. To do this, a ring oscillator physically unclonable function based on comparing oscillators in pairs has been implemented in an FPGA. This analysis shows that the frequencies of the oscillators greatly vary depending on their position in the FPGA, especially between oscillators implemented in different types of slices. Furthermore, the influence of the chosen locations of the ring oscillators on the quality of the physically unclonable function has been analyzed and we propose five strategies to select the locations of the oscillators. Among the strategies proposed, two of them stand out for their high uniqueness, reproducibility, and identifiability, so they can be used for authentication purposes. Finally, we have analyzed the reproducibility for the best strategy facing voltage and temperature variations, showing that it remains stable in the studied range. info:eu-repo/grantAgreement/ES/AEI/PID2020-114110RA-I00 info:eu-repo/grantAgreement/ES/DGA/LMP197-21 nfo:eu-repo/grantAgreement/ES/UZ/CUD2021-02 info:eu-repo/semantics/openAccess by http://creativecommons.org/licenses/by/3.0/es/ 3.4 2023 CHEMISTRY, ANALYTICAL 34 / 106 = 0.321 2023 Q2 T1 INSTRUMENTS & INSTRUMENTATION 24 / 76 = 0.316 2023 Q2 T1 ENGINEERING, ELECTRICAL & ELECTRONIC 122 / 353 = 0.346 2023 Q2 T2 0.786 2023 Instrumentation 2023 Q1 Analytical Chemistry 2023 Q1 Atomic and Molecular Physics, and Optics 2023 Q1 Information Systems 2023 Q2 Medicine (miscellaneous) 2023 Q2 Biochemistry 2023 Q2 Electrical and Electronic Engineering 2023 Q2 7.3 2023 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Garcia-Bosque, Miguel Universidad de Zaragoza (orcid)0000-0001-8648-6248 Díez-Señorans, Guillermo Universidad de Zaragoza (orcid)0000-0001-9131-0861 Celma, Santiago Universidad de Zaragoza (orcid)0000-0003-0182-7723 5008 250 Universidad de Zaragoza Dpto. Ingeniería Electrón.Com. Área Electrónica 23, 9 (2023), 4410 [18 pp.] Sensors Sensors 1424-8220 937471 http://zaguan.unizar.es/record/126418/files/texto_completo.pdf Versión publicada 2760420 http://zaguan.unizar.es/record/126418/files/texto_completo.jpg?subformat=icon icon Versión publicada oai:zaguan.unizar.es:126418 articulos driver 2024-11-22-12:01:12 ARTICLE