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Dokumenttyp:
Zeitschriftenaufsatz 
Autor(en):
Yu, Meng-Day (Mandel) and Hiller, Matthias and Delvaux, Jeroen and Sowell, Richard and Devadas, Srinivas and Verbauwhede, Ingrid 
Titel:
A Lockdown Technique to Prevent Machine Learning on PUFs for Lightweight Authentication 
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 p...    »
 
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