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Encoder Decoder-Based Virtual Physically Unclonable Function for Internet of Things Device Authentication Using Split-Learning
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Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1007/978-3-030-60769-2_2openalex-extracted
Physical Unclonable Function: A Hardware Fingerprinting Solution
inferredcites →https://doi.org/10.1007/978-3-030-70604-3_4openalex-extracted
Advancements of Federated Learning Towards Privacy Preservation: From Federated Learning to Split Learning
inferredcites →https://doi.org/10.1007/978-3-319-76804-5openalex-extracted
Physically Unclonable Functions
inferredcites →https://doi.org/10.1007/s11432-022-3722-8openalex-extracted
A strong physical unclonable function with machine learning immunity for Internet of Things application
inferredcites →https://doi.org/10.1007/s13369-023-08643-6openalex-extracted
A Deep Learning Method for the Security Vulnerability Study of Feed-Forward Physical Unclonable Functions
inferredcites →https://doi.org/10.1007/s13389-020-00223-wopenalex-extracted
Review of error correction for PUFs and evaluation on state-of-the-art FPGAs
inferredcites →https://doi.org/10.1016/j.comnet.2018.11.025openalex-extracted
Current research on Internet of Things (IoT) security: A survey
inferredcites →https://doi.org/10.1016/j.comnet.2020.107593openalex-extracted
A survey on physical unclonable function (PUF)-based security solutions for Internet of Things
inferredcites →https://doi.org/10.1016/j.comnet.2024.110294openalex-extracted
Zero-touch networks: Towards next-generation network automation
inferredcites →https://doi.org/10.1016/j.iot.2023.100780openalex-extracted
Internet of Things (IoT) security dataset evolution: Challenges and future directions
inferredcites →https://doi.org/10.1016/j.iotcps.2023.12.003openalex-extracted
Machine learning techniques for IoT security: Current research and future vision with generative AI and large language models
inferredcites →https://doi.org/10.1038/s41928-020-0372-5openalex-extracted
Physical unclonable functions
inferredcites →https://doi.org/10.1038/s42005-019-0139-3openalex-extracted
Biological physically unclonable function
inferredcites →https://doi.org/10.1109/access.2020.2970118openalex-extracted
Internet of Things (IoT) for Next-Generation Smart Systems: A Review of Current Challenges, Future Trends and Prospects for Emerging 5G-IoT Scenarios
inferredcites →https://doi.org/10.1109/apccas.2018.8605707openalex-extracted
A New Error Correction Scheme for Physical Unclonable Function
inferredcites →https://doi.org/10.1109/csnet59123.2023.10339744openalex-extracted
Towards Cluster-Based Split Federated Learning Approach for Continuous User Authentication
inferredcites →https://doi.org/10.1109/cvpr.2017.76openalex-extracted
Split-Brain Autoencoders: Unsupervised Learning by Cross-Channel Prediction
inferredcites →https://doi.org/10.1109/ecctd49232.2020.9218404openalex-extracted
Introduction to Physically Unclonable Fuctions: Properties and Applications
inferredcites →https://doi.org/10.1109/ets48528.2020.9131578openalex-extracted
PUF Enrollment and Life Cycle Management: Solutions and Perspectives for the Test Community
inferredcites →https://doi.org/10.1109/ictc52510.2021.9620846openalex-extracted
Triad of Split Learning: Privacy, Accuracy, and Performance
inferredcites →https://doi.org/10.1109/ijcb52358.2021.9484338openalex-extracted
Federated Learning-based Active Authentication on Mobile Devices
inferredcites →https://doi.org/10.1109/iwcmc.2018.8450341openalex-extracted
A Secret Key Generation Scheme for Internet of Things using Ternary-States ReRAM-based Physical Unclonable Functions
inferredcites →https://doi.org/10.1109/jiot.2017.2786639openalex-extracted
Internet of Things (IoT): Research, Simulators, and Testbeds
inferredcites →https://doi.org/10.1109/jiot.2019.2903832openalex-extracted
Distributed Learning for Low Latency Machine Type Communication in a Massive Internet of Things
inferredcites →https://doi.org/10.1109/jproc.2014.2320516openalex-extracted
Physical Unclonable Functions and Applications: A Tutorial
inferredcites →https://doi.org/10.1109/jsac.2023.3242701openalex-extracted
Over-the-Air Split Machine Learning in Wireless MIMO Networks
inferredcites →https://doi.org/10.1109/jsac.2023.3242704openalex-extracted
Split Learning Over Wireless Networks: Parallel Design and Resource Management
inferredcites →https://doi.org/10.1109/meditcom58224.2023.10266637openalex-extracted
Experimental Evaluation of A Lightweight RSS-Based PLA Scheme in Multi-Node Multi-Cell Mesh Networks
inferredcites →https://doi.org/10.1109/mwscas.2016.7870046openalex-extracted
Overview of PUF-based hardware security solutions for the internet of things
inferredcites →https://doi.org/10.1109/spw.2012.30openalex-extracted
Slender PUF Protocol: A Lightweight, Robust, and Secure Authentication by Substring Matching
inferredcites →https://doi.org/10.1109/tbdata.2023.3280405openalex-extracted
Privacy and Efficiency of Communications in Federated Split Learning
inferredcites →https://doi.org/10.1109/tcad.2014.2370531openalex-extracted
Helper Data Algorithms for PUF-Based Key Generation: Overview and Analysis
inferredcites →https://doi.org/10.1109/tifs.2019.2891223openalex-extracted
Machine-Learning Attacks on PolyPUFs, OB-PUFs, RPUFs, LHS-PUFs, and PUF–FSMs
inferredcites →https://doi.org/10.1109/tifs.2024.3354115openalex-extracted
DRAM-Based PUF Utilizing the Variation of Adjacent Cells
inferredcites →https://doi.org/10.1145/1278480.1278484openalex-extracted
Physical unclonable functions for device authentication and secret key generation
inferredcites →https://doi.org/10.1145/2818186openalex-extracted
A Survey on Lightweight Entity Authentication with Strong PUFs
inferredcites →https://doi.org/10.1145/2897795.2897808openalex-extracted
PUF designed with Resistive RAM and Ternary States
inferredcites →https://doi.org/10.1145/3393628openalex-extracted
Machine Learning Assisted PUF Calibration for Trustworthy Proof of Sensor Data in IoT
inferredcites →https://doi.org/10.23919/date48585.2020.9116428openalex-extracted
Effect of Aging on PUF Modeling Attacks based on Power Side-Channel Observations
inferredcites →https://doi.org/10.3390/electronics11040653openalex-extracted
Strong PUF Enrollment with Machine Learning: A Methodical Approach
inferredcites →https://doi.org/10.3390/math12010077openalex-extracted
Advances in Physical Unclonable Functions Based on New Technologies: A Comprehensive Review
inferredcites →https://doi.org/10.48550/arxiv.2308.11027openalex-extracted
Split Learning for Distributed Collaborative Training of Deep Learning Models in Health Informatics
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