A Lockdown Technique to Prevent Machine Learning on PUFs for Lightweight Authentication-Reference-Cited by-同舟云学术

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A Lockdown Technique to Prevent Machine Learning on PUFs for Lightweight Authentication

Published:2016-07-01 Issue:3 Volume:2 Page:146-159
ISSN:2332-7766
Container-title:IEEE Transactions on Multi-Scale Computing Systems
language:
Short-container-title:IEEE Trans. Multi-Scale Comp. Syst.

Author:

Yu Meng-Day,Hiller Matthias,Delvaux Jeroen,Sowell Richard,Devadas Srinivas,Verbauwhede Ingrid

Funder

Bavaria California Technology Center

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Hardware and Architecture,Information Systems,Control and Systems Engineering

Link

http://xplorestaging.ieee.org/ielx7/6687315/7605563/07450665.pdf?arnumber=7450665

Cited by 126 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. PUF-based Digital Money with Propagation-of-Provenance and Offline Transfers between Two Parties;ACM Journal on Emerging Technologies in Computing Systems;2024-07-31

2. PhenoAuth: A Novel PUF-Phenotype-Based Authentication Protocol for IoT Devices;2024 IEEE International Symposium on Hardware Oriented Security and Trust (HOST);2024-05-06

3. A Deep Learning Method for the Security Vulnerability Study of Feed-Forward Physical Unclonable Functions;Arabian Journal for Science and Engineering;2024-01-19

4. Hardware Security for Internet of Things Identity Assurance;IEEE Communications Surveys & Tutorials;2024

5. A Lightweight Authentication Protocol Against Modeling Attacks Based on a Novel LFSR-APUF;IEEE Internet of Things Journal;2024-01-01

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