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Data and code to design and evaluate the PLL-based true random number generator according to the paper "Enhancing Quality and Security of the PLL-TRNG" (published and awarded at TCHES 2023).

License: GNU General Public License v3.0

Jupyter Notebook 99.89% Python 0.11% Dockerfile 0.01%
field-programmable-gate-arrays min-entropy pll random-number-generators security-evaluation

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enhanced-pll-trng's Issues

fix write rights on Binder

In the binder environment we see some errors:

MovieWriter stderr:
pll_trng_temperature_attack.gif: Permission denied

and also with the dependency analysis

Permission denied: './mlruns'

Set thresholds to 0

In the Model notebook, set the thresholds for contributors to p=0 and p=1 to have the continuous curves, as is the case in the article.

Complete config-search code

The file src/find_PLL-TRNG_configs_FPGA_2023.py has further dependencies on pip install python-constraint, make sure this works.

update readme

by @viktorfischersenior:

  1. to use Figure 3 depicting the new architecture instead of the old one.

  2. to modify the text in the following way:

two Spartan devices were tested, both placed on the cards version 11, cards #2 and #8 marked S6v11_2 and S6v11_8), and by configurations described in the paper (A, B, or C with one or two PLL outputs as indicated by the suffix, e.g. A_1 vs A_2). Finally, the data files represent bitstreams available at the sampler output, i.e. the D flip-flop output marked dff_out in Figure 3). The binary files have thus extension .dff and the associated metadata files have extension .log.

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