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Deep Learning based Model Building Attacks on Arbiter PUF Compositions
physically unclonable function machine learning deep learning
2019/5/28
Robustness to modeling attacks is an important requirement for PUF circuits. Several reported Arbiter PUF com- positions have resisted modeling attacks. and often require huge computational resources ...
Security Analysis of Arbiter PUF and Its Lightweight Compositions Under Predictability Test
PUF APUF
2017/5/27
Unpredictability is an important security property of Physically Unclonable Function (PUF) in the context of statistical attacks, where the correlation between challenge-response pairs is explicitly e...
A Multiplexer based Arbiter PUF Composition with Enhanced Reliability and Security
Arbiter PUF (APUF) APUF compositions modeling attack
2016/12/7
Arbiter Physically Unclonable Function (APUF), while being relatively lightweight, is extremely vulnerable to modeling
attacks. Hence, various compositions of APUFs such as XOR APUF and Lightweight S...
Architectural Bias: a Novel Statistical Metric to Evaluate Arbiter PUF Variants
Architectural bias arbiter PUF (APUF) double APUF (DAPUF)
2016/1/27
This paper introduces the notion of Architectural Bias, which can be used to measure the influence of the architecture of Arbiter Physically Unclonable Functions (APUFs) on the quality of its outputs....
A Complete and Linear Physical Characterization Methodology for the Arbiter PUF Family
Physically Unclonable Function Arbiter PUF Photonic emission analysis
2015/12/23
As intended by its name, Physically Unclonable Functions
(PUFs) are considered as an ultimate solution to deal with insecure storage,
hardware counterfeiting, and many other security problems. Howev...