Statistical Quality Comparison of the Bitstrings Generated by a Physical Unclonable Function across Xilinx, Altera and Microsemi Devices
Jenilee Jao, Kristi Hoffman, Cheryl Reid, Ryan Thomson and, Michael Thompson, Jim Plusquellic

TL;DR
This paper compares the entropy and quality of PUF-generated bitstrings across Xilinx, Altera, and Microsemi low-end FPGA devices, highlighting variations in randomness and reliability for IoT security applications.
Contribution
It provides a comparative analysis of PUF entropy and reliability across different FPGA vendors using a nearly identical SiRF PUF architecture.
Findings
Significant variation in entropy levels across vendors.
Microsemi devices show lower entropy compared to Xilinx and Altera.
Reliability analysis confirms consistent PUF responses under temperature variations.
Abstract
Entropy or randomness represents a foundational security property in security-related operations, such as key generation. Key generation in turn is central to security protocols such as authentication and encryption. Physical unclonable functions (PUF) are hardware-based primitives that can serve as key generation engines in modern microelectronic devices and applications. PUFs derive entropy from manufacturing variations that exist naturally within and across otherwise identical copies of a device. However, the levels of random variations that represent entropy, which are strongly correlated to the quality of the PUF-generated bitstrings, vary from one manufacturer to another. In this paper, we evaluate entropy across a set of devices manufactured by three mainstream FPGA vendors, Xilinx, Altera and Microsemi. The devices selected for evaluation are considered low-end commercial…
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Taxonomy
TopicsPhysical Unclonable Functions (PUFs) and Hardware Security · Digital Media Forensic Detection · Advanced Steganography and Watermarking Techniques
