A noise bifurcation architecture for linear additive physical functions
Physical Unclonable Functions (PUFs) allow a silicon device to be authenticated based on its manufacturing variations using challenge/response evaluations. Popular realizations use linear additive functions as building blocks. Security is scaled up using non-linear mixing (e.g., adding XORs). Becaus...
Main Authors: | Yu, Meng-Day (Author), M'Raihi, David (Author), Verbauwhede, Ingrid (Author), Devadas, Srinivas (Contributor) |
---|---|
Other Authors: | Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science (Contributor) |
Format: | Article |
Language: | English |
Published: |
Institute of Electrical and Electronics Engineers (IEEE),
2015-11-23T17:24:18Z.
|
Subjects: | |
Online Access: | Get fulltext |
Similar Items
-
Lightweight and secure PUF key storage using limits of machine learning
by: Yu, Meng-Day (Mandel), et al.
Published: (2012) -
Performance Metrics and Empirical Results of a PUF Cryptographic Key Generation ASIC
by: Yu, Meng-Day (Mandel), et al.
Published: (2012) -
Recombination of Physical Unclonable Functions
by: Yu, Meng-Day (Mandel), et al.
Published: (2010) -
Secure and Robust Error Correction for Physical Unclonable Functions
by: Yu, Meng-Day (Mandel), et al.
Published: (2010) -
A Lockdown Technique to Prevent Machine Learning on PUFs for Lightweight Authentication
by: Hiller, Matthias, et al.
Published: (2017)