UNBIAS PUF: A Physical Implementation Bias Agnostic Strong PUF
Wei-Che Wang, Zhuoqi Li, Joseph Skudlarek, Mario Larouche, Michael, Chen, Puneet Gupta

TL;DR
This paper introduces UNBIAS PUF, a novel strong PUF design that is bias-agnostic, easily implementable in RTL, and does not require physical layout constraints or delay characterization, maintaining high uniqueness and stability.
Contribution
The paper presents a bias-agnostic strong PUF design implemented purely in RTL, eliminating the need for physical constraints and delay characterization, with validated unbiased response extraction models.
Findings
Achieves 5.9% intra-FHD and 45.1% inter-FHD on FPGA
No physical layout constraints or XOR gates needed
Intra-FHD remains below error correction margin under variations
Abstract
The Physical Unclonable Function (PUF) is a promising hardware security primitive because of its inherent uniqueness and low cost. To extract the device-specific variation from delay-based strong PUFs, complex routing constraints are imposed to achieve symmetric path delays; and systematic variations can severely compromise the uniqueness of the PUF. In addition, the metastability of the arbiter circuit of an Arbiter PUF can also degrade the quality of the PUF due to the induced instability. In this paper we propose a novel strong UNBIAS PUF that can be implemented purely by Register Transfer Language (RTL), such as verilog, without imposing any physical design constraints or delay characterization effort to solve the aforementioned issues. Efficient inspection bit prediction models for unbiased response extraction are proposed and validated. Our experimental results of the strong…
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Taxonomy
TopicsPhysical Unclonable Functions (PUFs) and Hardware Security · Integrated Circuits and Semiconductor Failure Analysis · Neuroscience and Neural Engineering
