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Titel:

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

Dokumenttyp:
Zeitschriftenaufsatz
Autor(en):
Yu, Meng-Day (Mandel) and Hiller, Matthias and Delvaux, Jeroen and Sowell, Richard and Devadas, Srinivas and Verbauwhede, Ingrid
Abstract:
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 protocol: unlike prior approaches, an adaptive chosen-challenge adversary with machine learning capabilities cannot obtain new CRPs without the server’s implicit permission. The adversary is faced with the pr...     »
Stichworte:
Physical Unclonable Function, Authentication, Machine Learning, Heuristic Security, Computationally Unrestricted Adversary, Probably Approximately Correct (PAC) Learning
Dewey Dezimalklassifikation:
620 Ingenieurwissenschaften
Zeitschriftentitel:
IEEE Transactions on Multi-Scale Computing Systems
Jahr:
2016
Jahr / Monat:
2016-09
Quartal:
3. Quartal
Monat:
Sep
Reviewed:
ja
Sprache:
en
Volltext / DOI:
doi:10.1109/TMSCS.2016.2553027
WWW:
http://ieeexplore.ieee.org/document/7450665/?arnumber=7450665&url=http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=7450665/
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