Recent Advances in Photonic Physical Unclonable Functions
| Autor: | Amy C. Foster, Ulrich Ruhrmair, F. Pavanello, Ian O'Connor, Dimitris Syvridis |
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| Přispěvatelé: | INL - Conception de Systèmes Hétérogènes (INL - CSH), Institut des Nanotechnologies de Lyon (INL), Centre National de la Recherche Scientifique (CNRS)-Institut National des Sciences Appliquées de Lyon (INSA Lyon), Université de Lyon-Institut National des Sciences Appliquées (INSA)-Université de Lyon-Institut National des Sciences Appliquées (INSA)-École Centrale de Lyon (ECL), Université de Lyon-Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-École supérieure de Chimie Physique Electronique de Lyon (CPE)-Centre National de la Recherche Scientifique (CNRS)-Institut National des Sciences Appliquées de Lyon (INSA Lyon), Université de Lyon-École supérieure de Chimie Physique Electronique de Lyon (CPE), INL - Ingénierie et conversion de lumière (i-Lum) (INL - I-Lum), Ludwig-Maximilians-Universität München (LMU), Electrical and Computer Engineering Department [University of Connecticut] (ECE), University of Connecticut (UCONN), Johns Hopkins University (JHU), National and Kapodistrian University of Athens (NKUA) |
| Rok vydání: | 2021 |
| Předmět: |
[SPI]Engineering Sciences [physics]
ComputingMilieux_MANAGEMENTOFCOMPUTINGANDINFORMATIONSYSTEMS Computer engineering Computer science business.industry Physical unclonable function Entropy (information theory) Photonics business Resilience (network) Implementation Computer Science::Cryptography and Security |
| Zdroj: | ETS 2021 IEEE European Test Symposium (ETS) 2021 26th IEEE European Test Symposium (ETS) 2021 26th IEEE European Test Symposium (ETS), May 2021, BRUGES, Belgium |
| Popis: | International audience; This special session paper discusses recent advances on photonic physical unclonable functions (PUFs), providing a broader overview of and motivation for photonic PUFs. We discuss their potential advantages, such as a higher entropy, larger complexity, and possibly better resilience against machine learning attacks. We also deal with some recent implementations based on linear and non-linear optics, alongside with their main advantages and limitations. |
| Databáze: | OpenAIRE |
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