pypuf

Cryptanalysis of Physically Unclonable Functions

https://github.com/nils-wisiol/pypuf

Science Score: 67.0%

This score indicates how likely this project is to be science-related based on various indicators:

✓
CITATION.cff file
Found CITATION.cff file
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codemeta.json file
Found codemeta.json file
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.zenodo.json file
Found .zenodo.json file
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DOI references
Found 11 DOI reference(s) in README
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Academic publication links
Links to: zenodo.org
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Committers with academic emails
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Institutional organization owner
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JOSS paper metadata
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Scientific vocabulary similarity
Low similarity (12.2%) to scientific vocabulary

Keywords

crps cryptography machine-learning pufs science security simulation strong-pufs

Last synced: 6 months ago · JSON representation ·

Repository

Cryptanalysis of Physically Unclonable Functions

Basic Info

Host: GitHub
Owner: nils-wisiol
License: gpl-3.0
Language: Python
Default Branch: main
Homepage:
Size: 192 MB

Statistics

Stars: 87
Watchers: 10
Forks: 28
Open Issues: 10
Releases: 19

Topics

crps cryptography machine-learning pufs science security simulation strong-pufs

Created almost 9 years ago · Last pushed over 1 year ago

Metadata Files

Readme License Citation

pypuf: Cryptanalysis of Physically Unclonable Functions

pypuf is a toolbox for simulation, testing, and attacking Physically Unclonable Functions.

Getting Started

Please check out the pypuf hello world in the documentation.

Studies and Results

pypuf is used in a number of PUF-related research projects. If you would like to add your project to the list, please open an issue or send an email. In reverse chronological order:

2021, Wisiol: Towards Attack Resilient Arbiter PUF-Based Strong PUFs: Design proposal for the LP-PUF, claimed to mitigate known modeling attacks while having reliable responses.
2021, Wisiol et al.: Neural-Network-Based Modeling Attacks on XOR Arbiter PUFs Revisited
2020, Wisiol et al.: Splitting the Interpose PUF: A Novel Modeling Attack Strategy: Modeling attacks on the Interpose PUF using Logistic Regression in a Divide-and-Conquer strategy.
2020, Wisiol et al.: Short Paper: XOR Arbiter PUFs have Systematic Response Bias: Empirical and theoretical study of XOR Arbiter PUF response bias for unbiased arbiter chains.
2019, Wisiol et al.: Breaking the Lightweight Secure PUF: Understanding the Relation of Input Transformations and Machine Learning Resistance: An advanced machine learning attack on the Lightweight Secure PUF.
2019, Wisiol et al.: Why Attackers Lose: Design and Security Analysis of Arbitrarily Large XOR Arbiter PUFs: Simulation of the stabiltiy of Majority Vote XOR Arbiter PUFs.

Please check out the archived version of pypuf v1 to find the original code used some of the older projects.

Citation

To refer to pypuf, please use DOI 10.5281/zenodo.3901410. pypuf is published via Zenodo. Please cite this work as

Nils Wisiol, Christoph Gräbnitz, Christopher Mühl, Benjamin Zengin, Tudor Soroceanu, Niklas Pirnay, Khalid T. Mursi, & Adomas Baliuka. pypuf: Cryptanalysis of Physically Unclonable Functions (Version 2, June 2021). Zenodo. https://doi.org/10.5281/zenodo.3901410

or use the following BibTeX:

@software{pypuf, author = {Nils Wisiol and Christoph Gräbnitz and Christopher Mühl and Benjamin Zengin and Tudor Soroceanu and Niklas Pirnay and Khalid T. Mursi and Adomas Baliuka}, title = {{pypuf: Cryptanalysis of Physically Unclonable Functions}}, year = 2021, publisher = {Zenodo}, version = {v2}, doi = {10.5281/zenodo.3901410}, url = {https://doi.org/10.5281/zenodo.3901410} }

Contribute

Testing, linting, licensing. When first contributing, make sure to update the author lists in README.md (2x), index.rst of the docs (2x), and CITATION.cff (1x).

Run Tests

install sphinx-build xdoctest
xdoctest pypuf
cd docs
make clean
make doctest && make html
cd to project root
python3 -m pytest test

Maintainer: Prepare New Release

Make sure author lists are up-to-date.
Make sure docs are testing and building without error (see above)
Commit all changes
Clean up dist/ folder
Set up new release version: RELEASE=x.y.z
Update version to x.y.z in setup.py and docs/conf.py
Commit with message "Release Version vx.y.z": git commit -p -m "Release Version v$RELEASE"
Tag commit using git tag -as v$RELEASE -m "Release Version v$RELEASE"
If applicable, adjust dev and/or stable tags.
Push
1. branch: git push
2. tag: git push origin v$RELEASE
Set environment variables GITHUB_TOKEN to a GitHub token, TWINE_USERNAME and TWINE_PASSWORD to PyPi credentials.
Publish using publish nils-wisiol pypuf
At zenodo.org, make sure the author list is up to date.

Owner

Name: Nils Wisiol
Login: nils-wisiol
Kind: user

Repositories: 28
Profile: https://github.com/nils-wisiol

Citation (CITATION.cff)

cff-version: 1.1.0
message: pypuf is published via Zenodo. To refer to pypuf, please use DOI 10.5281/zenodo.3901410.
title: pypuf: Cryptanalysis of Physically Unclonable Functions
doi: 10.5281/zenodo.3901410
publisher: Zenodo
url: https://doi.org/10.5281/zenodo.3901410
authors:
  - family-names: Wisiol
    given-names: Nils
    orcid: "https://orcid.org/0000-0003-2606-614X"
  - family-names: Gräbnitz
    given-names: Christoph
  - family-names: Mühl
    given-names: Christopher
  - family-names: Zengin
    given-names: Benjamin
  - family-names: Soroceanu
    given-names: Tudor
  - family-names: Pirnay
    given-names: Niklas
  - family-names: Mursi
    given-names: Khalid T.
    orcid: "https://orcid.org/0000-0001-8032-8484"
  - family-names: Baliuka
    given-names: Adomas
    orcid: "https://orcid.org/0000-0002-7064-8502"
license: GPL 3.0

GitHub Events

Total

Issues event: 1
Watch event: 11
Issue comment event: 4
Pull request event: 1
Fork event: 5

Last Year

Issues event: 1
Watch event: 11
Issue comment event: 4
Pull request event: 1
Fork event: 5

Committers

Last synced: almost 3 years ago

All Time

Total Commits: 118
Total Committers: 1
Avg Commits per committer: 118.0
Development Distribution Score (DDS): 0.0

Top Committers

Name	Email	Commits
Nils Wisiol	m**l@n**e	118

Committer Domains (Top 20 + Academic)

nils-wisiol.de: 1

Issues and Pull Requests

Last synced: 6 months ago

All Time

Total issues: 35
Total pull requests: 71
Average time to close issues: 7 months
Average time to close pull requests: about 1 month
Total issue authors: 13
Total pull request authors: 8
Average comments per issue: 2.14
Average comments per pull request: 0.63
Merged pull requests: 53
Bot issues: 0
Bot pull requests: 0

Past Year

Issues: 1
Pull requests: 1
Average time to close issues: N/A
Average time to close pull requests: N/A
Issue authors: 1
Pull request authors: 1
Average comments per issue: 0.0
Average comments per pull request: 0.0
Merged pull requests: 0
Bot issues: 0
Bot pull requests: 0

View more stats

Top Authors

Issue Authors

weber-tsao (10)
nils-wisiol (9)
MrM0nkey (5)
AranyaiitrGit (2)
Dominic-Lentini (1)
harjas-kaur (1)
sara-alahmadi (1)
samehkhalfaoui (1)
RRasche (1)
korotaevyua (1)
Chrism7 (1)
taudor (1)
benj-zen (1)

Pull Request Authors

nils-wisiol (48)
MrM0nkey (13)
b10n (3)
Chrism7 (3)
n1kn4x (3)
javiermas (2)
huenemoerder (1)
ytuo (1)

Top Labels

Issue Labels

enhancement (8) bug (3) help wanted (2) question (1)

Pull Request Labels

enhancement (4)

Packages

Total packages: 1
Total downloads:
- pypi 723 last-month

Total dependent packages: 0
Total dependent repositories: 2
Total versions: 18
Total maintainers: 1

pypi.org: pypuf

Homepage: https://github.com/nils-wisiol/pypuf
Documentation: https://pypuf.readthedocs.io/
License: GNU General Public License Version 3
Latest release: 3.2.1
published over 4 years ago

Versions: 18
Dependent Packages: 0
Dependent Repositories: 2
Downloads: 723 Last month

Rankings

Forks count: 8.2%

Stargazers count: 8.6%

Downloads: 9.4%

Average: 9.6%

Dependent packages count: 10.1%

Dependent repos count: 11.5%

Maintainers (1)

nilsnilsnils

Last synced: 6 months ago

Dependencies

docs/requirements.txt pypi

docutils <0.18

requirements.txt pypi

flake8 *
memory_profiler *
more_itertools *
numpy *
pytest *
scipy *
setuptools *
sphinx *
sphinx_rtd_theme *
tensorflow *
xdoctest *

setup.py pypi

memory_profiler *
more_itertools *
numpy >=1.18
scipy >=1.5
tensorflow *

.github/workflows/main.yml actions

actions/checkout v2 composite
actions/setup-python v1 composite