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Strong PUF Enrollment with Machine Learning: A Methodical Approach

https://doi.org/10.3390/electronics11040653

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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1007/978-1-4614-1362-2openalex-snapshot

Embedded Systems Design with FPGAs

inferredcites →https://doi.org/10.1007/978-3-319-24837-0_2openalex-snapshot

On the Scaling of Machine Learning Attacks on PUFs with Application to Noise Bifurcation

inferredcites →https://doi.org/10.1016/j.comnet.2020.107593openalex-snapshot

A survey on physical unclonable function (PUF)-based security solutions for Internet of Things

inferredcites →https://doi.org/10.1109/access.2021.3084903openalex-snapshot

A Lightweight PUF-Based Authentication Protocol Using Secret Pattern Recognition for Constrained IoT Devices

inferredcites →https://doi.org/10.1109/desec.2017.8073844openalex-snapshot

An experimental study of the state-of-the-art PUFs implemented on FPGAs

inferredcites →https://doi.org/10.1109/ets48528.2020.9131578openalex-snapshot

PUF Enrollment and Life Cycle Management: Solutions and Perspectives for the Test Community

inferredcites →https://doi.org/10.1109/iccad.2008.4681648openalex-snapshot

Lightweight secure PUFs

inferredcites →https://doi.org/10.1109/icce46568.2020.9043104openalex-snapshot

Embedded Systems Authentication and Encryption Using Strong PUF Modeling

inferredcites →https://doi.org/10.1109/iciot.2018.00014openalex-snapshot

A Machine Learning-Based Security Vulnerability Study on XOR PUFs for Resource-Constraint Internet of Things

inferredcites →https://doi.org/10.1109/icsict.2018.8565728openalex-snapshot

Deep Learning Modeling Attack Analysis for Multiple FPGA-based APUF Protection Structures

inferredcites →https://doi.org/10.1109/isqed48828.2020.9137057openalex-snapshot

Efficient Transfer Learning on Modeling Physical Unclonable Functions

inferredcites →https://doi.org/10.1109/iwcmc.2018.8450341openalex-snapshot

A Secret Key Generation Scheme for Internet of Things using Ternary-States ReRAM-based Physical Unclonable Functions

inferredcites →https://doi.org/10.1109/jproc.2014.2320516openalex-snapshot

Physical Unclonable Functions and Applications: A Tutorial

inferredcites →https://doi.org/10.1109/pst47121.2019.8949070openalex-snapshot

Extensive Examination of XOR Arbiter PUFs as Security Primitives for Resource-Constrained IoT Devices

inferredcites →https://doi.org/10.1109/reconfig.2010.24openalex-snapshot

Quantitative and Statistical Performance Evaluation of Arbiter Physical Unclonable Functions on FPGAs

inferredcites →https://doi.org/10.1109/rfid-ta.2017.8098893openalex-snapshot

Lightweight highly secure PUF protocol for mutual authentication and secret message exchange

inferredcites →https://doi.org/10.1109/spw.2012.30openalex-snapshot

Slender PUF Protocol: A Lightweight, Robust, and Secure Authentication by Substring Matching

inferredcites →https://doi.org/10.1109/wifs.2010.5711471openalex-snapshot

FPGA PUF using programmable delay lines

inferredcites →https://doi.org/10.1145/1866307.1866335openalex-snapshot

Modeling attacks on physical unclonable functions

inferredcites →https://doi.org/10.1145/2818186openalex-snapshot

A Survey on Lightweight Entity Authentication with Strong PUFs

inferredcites →https://doi.org/10.1145/2897795.2897808openalex-snapshot

PUF designed with Resistive RAM and Ternary States

inferredcites →https://doi.org/10.1145/3316781.3317761openalex-snapshot

Adversarial Attack against Modeling Attack on PUFs

inferredcites →https://doi.org/10.1145/586131.586132openalex-snapshot

Silicon physical random functions

inferredcites →https://doi.org/10.23919/date.2019.8714862openalex-snapshot

PUFs Deep Attacks: Enhanced modeling attacks using deep learning techniques to break the security of double arbiter PUFs

inferredcites →https://doi.org/10.3390/electronics9101715openalex-snapshot

A Fast Deep Learning Method for Security Vulnerability Study of XOR PUFs

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.2139/ssrn.4838393openalex-extracted

Encoder Decoder-Based Virtual Physically Unclonable Function for Internet of Things Device Authentication Using Split-Learning

inferred← citeshttps://doi.org/10.1002/adma.202517750openalex-snapshot

Reconfigurable Physical Unclonable Functions Based on Magnetic Domain Patterns

inferred← citeshttps://doi.org/10.1016/j.cose.2024.104164openalex-snapshot

Encoder decoder-based Virtual Physically Unclonable Function for Internet of Things device authentication using split-learning

inferred← citeshttps://doi.org/10.1038/s41598-025-20305-1openalex-snapshot

Enhancing virtual physically unclonable function security through neuron-criticality analysis and lightweight encryption

inferred← citeshttps://doi.org/10.1109/ddecs63720.2025.11006802openalex-snapshot

An Innovative Data Mining Technique for Automatic Anomaly Detection in Physical Unclonable Functions

inferred← citeshttps://doi.org/10.1109/icdcsw63686.2024.00017openalex-snapshot

PECMQ: Private and Encrypted Communications in IoT Systems Using PUFs and MQTT

inferred← citeshttps://doi.org/10.1109/jiot.2023.3279847openalex-snapshot

Joint Heterogeneous PUF-Based Security-Enhanced IoT Authentication

inferred← citeshttps://doi.org/10.1109/smacd65553.2025.11091973openalex-snapshot

Ternary PUF-based Secure Mutual Authentication Using RNNs for Sequence Learning in Response Classification

inferred← citeshttps://doi.org/10.1145/3583781.3590249openalex-snapshot

Fortified-Edge: Secure PUF Certificate Authentication Mechanism for Edge Data Centers in Collaborative Edge Computing

inferred← citeshttps://doi.org/10.23919/date64628.2025.10992895openalex-snapshot

Late Breaking Results: Automatic Anomaly Detection Method in Physical Unclonable Functions using Data Mining Techniques

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