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Modeling of Random Variations in a Switched Capacitor Circuit based Physically Unclonable Function

  • The Internet of Things (IoT) is expanding to a wide range of fields such as home automation, agriculture, environmental monitoring, industrial applications, and many more. Securing tens of billions of interconnected devices in the near future will be one of the biggest challenges. IoT devices are often constrained in terms of computational performance, area, and power, which demand lightweightThe Internet of Things (IoT) is expanding to a wide range of fields such as home automation, agriculture, environmental monitoring, industrial applications, and many more. Securing tens of billions of interconnected devices in the near future will be one of the biggest challenges. IoT devices are often constrained in terms of computational performance, area, and power, which demand lightweight security solutions. In this context, hardware-intrinsic security, particularly physically unclonable functions (PUFs), can provide lightweight identification and authentication for such devices. In this paper, random capacitor variations in a switched capacitor PUF circuit are used as a source of entropy to generate unique security keys. Furthermore, a mathematical model based on the ordinary least square method is developed to describe the relationship between random variations in capacitors and the resulting output voltages. The model is used to filter out systematic variations in circuit components to improve the quality of the extracted secrets.show moreshow less

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Metadaten
Author:Zahoor Ahmad, Lukas ZimmermannORCiDGND, Kai-Uwe Müller, Axel SikoraORCiDGND
Creating Corporation:Association for Computing Machinery
Place of publication:New York
Year of Publication:2020
ISBN:978-1-4503-8855-9
Language:English
Parent Title (English):Proceedings of The 8th International Conference on Information Technology
First Page:257
Last Page:261
Document Type:Conference Proceeding
Institutes:Bibliografie
Open Access:Zugriffsbeschränkt
Release Date:2021/11/12
Licence (German):License LogoEs gilt das UrhG
Note:
Konferenz: 8th International Conference on Information Technology (ICIT): IoT and Smart City, Xi'an (China), 25 December 2020-27 December 2021
URL:https://dl.acm.org/doi/10.1145/3446999.3447642447642
DOI:https://doi.org/10.1145/3446999.3447642