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A Novel Key Generation Method for Group-Based Physically Unclonable Function Designs

  • In recent years, physically unclonable functions (PUFs) have gained significant attraction in IoT security applications, such as cryptographic key generation and entity authentication. PUFs extract the uncontrollable production characteristics of different devices to generate unique fingerprints for security applications. When generating PUF-based secret keys, the reliability and entropy of theIn recent years, physically unclonable functions (PUFs) have gained significant attraction in IoT security applications, such as cryptographic key generation and entity authentication. PUFs extract the uncontrollable production characteristics of different devices to generate unique fingerprints for security applications. When generating PUF-based secret keys, the reliability and entropy of the keys are vital factors. This study proposes a novel method for generating PUF-based keys from a set of measurements. Firstly, it formulates the group-based key generation problem as an optimization problem and solves it using integer linear programming (ILP), which guarantees finding the optimum solution. Then, a novel scheme for the extraction of keys from groups is proposed, which we call positioning syndrome coding (PSC). The use of ILP as well as the introduction of PSC facilitates the generation of high-entropy keys with low error correction costs. These new methods have been tested by applying them on the output of a capacitor network PUF. The results confirm the application of ILP and PSC in generating high-quality keys.show moreshow less

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Metadaten
Document Type:Article (reviewed)
Zitierlink: https://opus.hs-offenburg.de/5355
Bibliografische Angaben
Title (English):A Novel Key Generation Method for Group-Based Physically Unclonable Function Designs
Author:Saeed AbdolinezhadStaff MemberORCiD, Lukas ZimmermannStaff MemberORCiDGND, Axel SikoraStaff MemberORCiDGND
Date of Publication (online):2021/10/24
Place of publication:Basel
Publisher:MDPI
Page Number:12
First Page:1
Last Page:12
Article Number:2597
Parent Title (English):Electronics
Editor:Taeshik Shon
Volume:10
Issue:21
ISSN:2079-9292
DOI:https://doi.org/10.3390/electronics10212597
URN:https://urn:nbn:de:bsz:ofb1-opus4-53556
Language:English
Inhaltliche Informationen
Institutes:Forschung / ivESK - Institut für verlässliche Embedded Systems und Kommunikationselektronik
Fakultät Elektrotechnik, Medizintechnik und Informatik (EMI) (ab 04/2019)
Institutes:Bibliografie
Tag:PUF key generation; integer linear programming; physically unclonable function (PUF); syndrome coding
Formale Angaben
Open Access: Open Access 
Licence (German):License LogoCreative Commons - CC BY - Namensnennung 4.0 International