Difference from the PQClean

PQClean is a C implementation of the post-quantum schemes from the NIST post-quantum project. Our update exposes the internal functions of the underlying K-PKE scheme. Namely: encryption of the given secret with the given randomness; decryption of the ciphertext without verification (without FO transform); and key generation from the given seed.

PQClean

See the build status for each component here

PQClean, in short, is an effort to collect clean implementations of the post-quantum schemes that are in the NIST post-quantum project. The goal of PQClean is to provide standalone implementations that

can easily be integrated into libraries such as liboqs.
can efficiently upstream into higher-level protocol integration efforts such as Open Quantum Safe;
can easily be integrated into benchmarking frameworks such as SUPERCOP;
can easily be integrated into frameworks targeting embedded platforms such as pqm4;
are suitable starting points for architecture-specific optimized implementations;
are suitable starting points for evaluation of implementation security; and
are suitable targets for formal verification.

What PQClean is not aiming for is

a build system producing an integrated library of all schemes;
including benchmarking of implementations; and
including integration into higher-level applications or protocols.

As a first main target, we are collecting C implementations that fulfill the requirements listed below. We also accept optimised implementations, but still requiring high-quality, tested code.

Please also review our guidelines for contributors if you are interested in adding a scheme to PQClean.

PQClean paper

For a summary of the lessons learnt while working on PQClean, please refer to:

Matthias J. Kannwischer, Peter Schwabe, Douglas Stebila, and Thom Wiggers. “Improving Software Quality in Cryptography Standardization Projects.” In: Security Standardization Research – EuroS&P Workshops 2022. 2022.

Find the paper at https://eprint.iacr.org/2022/337

Please cite this work when referring to PQClean:

@inproceedings{SSR:KSSW22,
  author    = {Matthias J. Kannwischer and
               Peter Schwabe and
               Douglas Stebila and
               Thom Wiggers},
  title     = {Improving Software Quality in Cryptography Standardization Projects},
  booktitle = {{IEEE} European Symposium on Security and Privacy, EuroS{\&}P 2022 - Workshops, Genoa, Italy, June 6-10, 2022},
  pages     = {19--30},
  publisher = {IEEE Computer Society},
  address   = {Los Alamitos, CA, USA},
  year      = {2022},
  url       = {https://eprint.iacr.org/2022/337},
  doi       = {10.1109/EuroSPW55150.2022.00010},
}

Please note that many of the implementations included in PQClean originate from original research projects themselves, and their authors will appreciate getting cited as well.

Requirements on C implementations that are automatically checked

The checking of items on this list is still being developed. Checked items should be working.

Requirements on C implementations that are manually checked

Minimalist Makefiles
No stringification macros
Output-parameter pointers in functions are on the left
All exported symbols are namespaced in place
Integer types are of fixed size where relevant, using stdint.h types (optional, recommended)
Integers used for indexing memory are of size size_t (optional, recommended)
Variable declarations at the beginning (except in for (size_t i=...) (optional, recommended)

Schemes currently in PQClean

For the following schemes we have implementations of one or more of their parameter sets. For all of these schemes we have clean C code, but for some we also have optimised code.

Key Encapsulation Mechanisms

Finalists:

Kyber

Alternate candidates:

HQC
Classic McEliece

Signature schemes

To-be standards:

Dilithium
Falcon
SPHINCS+

Alternate candidates:

No participants yet.

Implementations previously available in PQClean and dropped in Round 3 of the NIST standardization effort are available in the round2 tag.

Implementations previously available in PQClean and dropped in Round 4 of the NIST standardization effort are available in the round3 tag.

API used by PQClean

PQClean is essentially using the same API as required for the NIST reference implementations, which is also used by SUPERCOP and by libpqcrypto. The only differences to that API are the following:

All functions are namespaced;
All lengths are passed as type size_t instead of unsigned long long; and
Signatures offer two additional functions that follow the "traditional" approach used in most software stacks of computing and verifying signatures instead of producing and recovering signed messages. Specifically, those functions have the following name and signature:

int PQCLEAN_SCHEME_IMPL_crypto_sign_signature(
    uint8_t *sig, size_t *siglen,
    const uint8_t *m, size_t mlen,
    const uint8_t *sk);
int PQCLEAN_SCHEME_IMPL_crypto_sign_verify(
    const uint8_t *sig, size_t siglen,
    const uint8_t *m, size_t mlen,
    const uint8_t *pk);

Building PQClean

As noted above, PQClean is not meant to be built as a single library: it is a collection of source code that can be easily integrated into other libraries. The PQClean repository includes various test programs which do build various files, but you should not use the resulting binaries.

List of required dependencies: gcc or clang, make, python3, python-yaml library, valgrind, astyle (>= 3.0).

Using source code from PQClean in your own project

Each implementation directory in PQClean (e.g., crypto_kem/kyber768_clean) can be extracted for use in your own project. You will need to:

Copy the source code from the implementation's directory into your project.
Add the files to your project's build system.
Provide instantiations of any of the common cryptographic algorithms used by the implementation. This likely includes common/randombytes.h (a cryptographic random number generator), and possibly common/sha2.h (the SHA-2 hash function family), common/aes.h (AES implementations), common/fips202.h (the SHA-3 hash function family) and common/sp800-185.h (the cSHAKE family). It is possible to use the implementations from the common/ folder, but note that they may not be the most performant implementations and may do unnecessary things (like heap allocations) for our testing purposes.

Regarding #2, adding the files to your project's build system, each implementation in PQClean is accompanied by example two makefiles that show how one could build the files for that implementation:

The file Makefile which can be used with GNU Make, BSD Make, and possibly others.
The file Makefile.Microsoft_nmake which can be used with Visual Studio's nmake.

Projects integrating PQClean-distributed source code

The following projects consume implementations from PQClean and provide their own wrappers around the implementations. Their integration strategies may serve as examples for your own projects.

QuantCrypt: Cross-platform Python library for Post-Quantum Cryptography using precompiled PQClean binaries
pqcrypto crate: Rust integration that automatically generates wrappers from PQClean source code.
mupq: Runs the implementations from PQClean as reference implementations to compare with microcontroller-optimized code.
node-pqclean: JavaScript interface for PQClean that natively supports Node.js, as well as Deno and web platforms through WebAssembly.
Open Quantum Safe: The Open Quantum Safe project integrates implementations from PQClean into their liboqs C library, which then exposes them via C++, C# / .NET, and Python wrappers, as well as to forks of OpenSSL and OpenSSH.

License

Each subdirectory containing implementations contains a LICENSE file stating under what license that specific implementation is released. The files in common contain licensing information at the top of the file (and are currently either public domain or MIT). All other code in this repository is released under the conditions of CC0.

Running tests locally

See https://github.com/PQClean/PQClean/wiki/Test-framework for details about the PQClean test framework.

While we run extensive automatic testing on Github Actions ((emulated) Linux builds, MacOS and Windows builds) and Travis CI (Aarch64 builds), and most tests can also be run locally. To do this, make sure the following is installed:

Python 3.6+
pytest for python 3.

We also recommend installing pytest-xdist to allow running tests in parallel.

You will also need to make sure the submodules are initialized by running:

git submodule update --init

Run the Python-based tests by going into the test directory and running pytest -v or (recommended) pytest -n=auto for parallel testing.

You may also run python3 <testmodule> where <testmodule> is any of the files starting with test_ in the test/ folder.

internxt/PQClean