Cryptography (Jul 2024)

Entropy Analysis of FPGA Interconnect and Switch Matrices for Physical Unclonable Functions

  • Jenilee Jao,
  • Ian Wilcox,
  • Jim Plusquellic,
  • Biliana Paskaleva,
  • Pavel Bochev

DOI
https://doi.org/10.3390/cryptography8030032
Journal volume & issue
Vol. 8, no. 3
p. 32

Abstract

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Random variations in microelectronic circuit structures represent the source of entropy for physical unclonable functions (PUFs). In this paper, we investigate delay variations that occur through the routing network and switch matrices of a field-programmable gate array (FPGA). The delay variations are isolated from other components of the programmable logic, e.g., look-up tables (LUTs), flip-flops (FFs), etc., using a feature of Xilinx FPGAs called dynamic partial reconfiguration (DPR). A set of partial designs is created to fix the placement of a time-to-digital converter (TDC) and supporting infrastructure to enable the path delays through the target interconnect and switch matrices to be extracted by subtracting out common-mode delay components. Delay variations are analyzed in the different levels of routing resources available within FPGAs, i.e., local routing and across-chip routing. Data are collected from a set of Xilinx Zynq 7010 devices, and a statistical analysis of within-die variations in delay through a set of the randomly-generated and hand-crafted interconnects is presented.

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