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

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

We present a lightweight PUF-based authentication approach that is practical in settings where a server authenticates a device, and for use cases where the number of authentications is limited over a device's lifetime. Our scheme uses a server-managed challenge/response pair (CRP) lockdown prot...

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Bibliographic Details
Main Authors: Hiller, Matthias, Delvaux, Jeroen, Sowell, Richard, Verbauwhede, Ingrid, Yu, Meng-Day, Devadas, Srinivas
Other Authors: Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory
Format: Article
Language:en_US
Published: Institute of Electrical and Electronics Engineers (IEEE) 2017
Online Access:http://hdl.handle.net/1721.1/110985
https://orcid.org/0000-0001-8253-7714

Internet

http://hdl.handle.net/1721.1/110985
https://orcid.org/0000-0001-8253-7714

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