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Robustness and Unpredictability for Double Arbiter PUFs on Silicon Data: Performance Evaluation and Modeling Accuracy

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What this work says

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

inferredcites →https://doi.org/10.1002/cpe.805openalex-snapshot
Identification and authentication of integrated circuits
inferredcites →https://doi.org/10.1007/3-540-48405-1_25openalex-snapshot
Differential Power Analysis
inferredcites →https://doi.org/10.1007/3-540-68697-5_9openalex-snapshot
Timing Attacks on Implementations of Diffie-Hellman, RSA, DSS, and Other Systems
inferredcites →https://doi.org/10.1007/978-1-4614-1362-2_11openalex-snapshot
A Systematic Method to Evaluate and Compare the Performance of Physical Unclonable Functions
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/10.1007/978-3-642-41395-7openalex-snapshot
Physically Unclonable Functions Constructions, Properties and Applications
inferredcites →https://doi.org/10.1007/978-3-662-48324-4_27openalex-snapshot
The Gap Between Promise and Reality: On the Insecurity of XOR Arbiter PUFs
inferredcites →https://doi.org/10.1021/ci0342472openalex-snapshot
The Problem of Overfitting
inferredcites →https://doi.org/10.1109/aspdac.2015.7058919openalex-snapshot
Implementation of double arbiter PUF and its performance evaluation on FPGA
inferredcites →https://doi.org/10.1109/bigdata47090.2019.9006041openalex-snapshot
Examination of Double Arbiter PUFs on Security against Machine Learning Attacks
inferredcites →https://doi.org/10.1109/dac.2007.375043openalex-snapshot
Physical Unclonable Functions for Device Authentication and Secret Key Generation
inferredcites →https://doi.org/10.1109/desec.2017.8073845openalex-snapshot
Towards fast and accurate machine learning attacks of feed-forward arbiter PUFs
inferredcites →https://doi.org/10.1109/iccad.2008.4681648openalex-snapshot
Lightweight secure PUFs
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/jproc.2005.862423openalex-snapshot
Cryptographic Processors-A Survey
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/tifs.2013.2279798openalex-snapshot
PUF Modeling Attacks on Simulated and Silicon Data
inferredcites →https://doi.org/10.1109/tvlsi.2005.859470openalex-snapshot
Extracting secret keys from integrated circuits
inferredcites →https://doi.org/10.1109/vlsic.2004.1346548openalex-snapshot
A technique to build a secret key in integrated circuits for identification and authentication applications
inferredcites →https://doi.org/10.1126/science.1074376openalex-snapshot
Physical One-Way Functions
inferredcites →https://doi.org/10.1145/1278480.1278484openalex-snapshot
Physical unclonable functions for device authentication and secret key generation
inferredcites →https://doi.org/10.1145/1866307.1866335openalex-snapshot
Modeling attacks on physical unclonable functions
inferredcites →https://doi.org/10.1145/3061639.3062315openalex-snapshot
Secure and Reliable XOR Arbiter PUF Design
inferredcites →https://doi.org/10.1145/586110.586132openalex-snapshot
Silicon physical random functions
inferredcites →https://doi.org/10.1155/2015/864812openalex-snapshot
A New Arbiter PUF for Enhancing Unpredictability on FPGA
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/10.46586/tosc.v2016.i1.57-70openalex-snapshot
Rotational Cryptanalysis in the Presence of Constants
inferredcites →https://doi.org/10.48550/arxiv.1201.0490openalex-snapshot
Scikit-learn: Machine Learning in Python

What points at this work

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

inferred← citeshttps://doi.org/10.1007/978-3-031-87760-5_18openalex-snapshot
32-bit and 64-bit CDC-7-XPUF Implementations on a Zynq-7020 SoC
inferred← citeshttps://doi.org/10.1016/j.cose.2026.104885openalex-snapshot
Modeling of physical unclonable functions (PUF): A systematic literature review
inferred← citeshttps://doi.org/10.1016/j.micpro.2021.104355openalex-snapshot
Highly reliable XoR Feed Arbiter Physical Unclonable Function (XFAPUF) in 180 nm process for IoT security
inferred← citeshttps://doi.org/10.1016/j.vlsi.2025.102538openalex-snapshot
Efficient, reliable, and secure PUF architecture with temperature invariance and ML attack resilience
inferred← citeshttps://doi.org/10.1080/02564602.2023.2214539openalex-snapshot
Recursive Challenge Feed Arbiter Physical Unclonable Function (RC-FAPUF) In 180nm Process For Reliable Key Generation In IOT Security
inferred← citeshttps://doi.org/10.1109/access.2023.3264016openalex-snapshot
Arbiter PUF—A Review of Design, Composition, and Security Aspects
inferred← citeshttps://doi.org/10.1109/bigdata50022.2020.9378194openalex-snapshot
Does Sophisticating Double Arbiter PUF Design Ensure its Security? Performance and Security Assessments on 5-1 DAPUF
inferred← citeshttps://doi.org/10.1109/icccs52626.2021.9449179openalex-snapshot
Machine Learning Attack on a Multiplexer PUF Variant Using Silicon Data: a Case Study on rMPUFs
inferred← citeshttps://doi.org/10.1109/icraie59459.2023.10468207openalex-snapshot
ANN Approach to Predict the Responses of 64 bits XOR APUF with High Accuracy
inferred← citeshttps://doi.org/10.1109/ises54909.2022.00034openalex-snapshot
The chaotic-based challenge feed mechanism for Arbiter Physical Unclonable Functions (APUFs) with enhanced reliability in IoT security
inferred← citeshttps://doi.org/10.1109/nas51552.2021.9605405openalex-snapshot
Machine Learning-based Vulnerability Study of Interpose PUFs as Security Primitives for IoT Networks
inferred← citeshttps://doi.org/10.1109/sensors60989.2024.10784502openalex-snapshot
Development of a 2–4 Double Arbiter PUF Design on FPGA with Enhanced Performance
inferred← citeshttps://doi.org/10.1109/tcsi.2025.3552902openalex-snapshot
A Lightweight PUF-Based Weights Obfuscation Technique for Secure In-Memory AI Inference
inferred← citeshttps://doi.org/10.23919/date58400.2024.10546703openalex-snapshot
IMCE: An In-Memory Computing and Encrypting Hardware Architecture for Robust Edge Security
inferred← citeshttps://doi.org/10.3390/electronics14081510openalex-snapshot
Comprehensive Investigation of Security and Quality Metrics for Lightweight Double Arbiter PUF on FPGAs: Design and Analysis
inferred← citeshttps://doi.org/10.3390/electronics9091498openalex-snapshot
A Novel SRAM PUF Stability Improvement Method Using Ionization Irradiation
inferred← citeshttps://doi.org/10.3390/electronics9101715openalex-snapshot
A Fast Deep Learning Method for Security Vulnerability Study of XOR PUFs
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