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LICENSE.txt
On the origins of this software
===============================
Parts of the pyphe software, including some of the tests are based on two files
from a Google project https://code.google.com/p/encrypted-bigquery-client. The
files are: `ebq/paillier.py` and `ebq/paillier_test.py`. That software is
licensed under the Apache Software License, included below.
The modifications by NICTA are released under the GPLv3.
GNU General Public License for pyphe
------------------------------------
GNU GENERAL PUBLIC LICENSE
Version 3, 29 June 2007
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The GNU General Public License does not permit incorporating your program
into proprietary programs. If your program is a subroutine library, you
may consider it more useful to permit linking proprietary applications with
the library. If this is what you want to do, use the GNU Lesser General
Public License instead of this License. But first, please read
<http://www.gnu.org/philosophy/why-not-lgpl.html>.
Apache License for encrypted-bigquery-client
--------------------------------------------
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+0
-1
phe.egg-info/entry_points.txt
[console_scripts]
pheutil = phe.command_line:cli [cli]
+100
-83
phe.egg-info/PKG-INFO

@@ -1,83 +0,10 @@

Metadata-Version: 1.1
Metadata-Version: 2.1
Name: phe
Version: 1.4.0
Version: 1.5.0
Summary: Partially Homomorphic Encryption library for Python
Home-page: https://github.com/n1analytics/python-paillier
Author: N1 Analytics developers
Author-email: info@n1analytics.com
Home-page: https://github.com/data61/python-paillier
Download-URL: https://pypi.python.org/pypi/phe/#downloads
Author: CSIRO's Data61
Author-email: confidential-computing@data61.csiro.au
License: GPLv3
Download-URL: https://pypi.python.org/pypi/phe/#downloads
Description: python-paillier |release|
==========================
+---------------------+
| |travisM| |
+---------------------+
| |rtdM| |
+---------------------+
| |reqM| |
+---------------------+
A Python 3 library for Partially Homomorphic Encryption.
The homomorphic properties of the paillier crypto system are:
- Encrypted numbers can be multiplied by a non encrypted scalar.
- Encrypted numbers can be added together.
- Encrypted numbers can be added to non encrypted scalars.
Running unit tests
------------------
::
python setup.py test
Or use nose::
nosetests
Note related to gmpy2
---------------------
`gmpy2` is not required to use the library, but is preferred. A pure Python implementation is available but
`gmpy2` drastically improves performances. As indication on a laptop not dedicated to benchmarking, running the example
`examples/federated_learning_with_encryption.py` provided in the library took:
- 4.5s with `gmpy2` installed
- 35.7s without `gmpy2` installed
However, `gmpy2` is a requirement to run the tests.
Code History
------------
Developed at `Data61 | CSIRO <http://data61.csiro.au>`_.
Parts derived from the Apache licensed Google project:
https://code.google.com/p/encrypted-bigquery-client/
No audit
--------
This code has neither been written nor vetted by any sort of crypto
expert. The crypto parts are mercifully short, however.
.. |release| image:: https://img.shields.io/pypi/v/phe.svg
:target: https://pypi.python.org/pypi/phe/
:alt: Latest released version on PyPi
.. |travisM| image:: https://travis-ci.org/n1analytics/python-paillier.svg?branch=master
:target: https://travis-ci.org/n1analytics/python-paillier
:alt: CI status of Master
.. |reqM| image:: https://requires.io/github/n1analytics/python-paillier/requirements.svg?branch=master
:target: https://requires.io/github/n1analytics/python-paillier/requirements/?branch=master
:alt: Requirements Status of master
.. |rtdM| image:: https://readthedocs.org/projects/python-paillier/badge/?version=stable
:target: http://python-paillier.readthedocs.org/en/latest/?badge=stable
:alt: Documentation Status
Keywords: cryptography encryption homomorphic

@@ -92,5 +19,95 @@ Platform: UNKNOWN

Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.3
Classifier: Programming Language :: Python :: 3.4
Classifier: Programming Language :: Python :: 3.5
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: 3.7
Classifier: Programming Language :: Python :: 3.8
Classifier: Programming Language :: Python :: 3.9
Classifier: Programming Language :: Python :: 3.10
Classifier: Programming Language :: Python :: 3.11
Provides-Extra: cli
Provides-Extra: examples
License-File: LICENSE.txt
python-paillier |release|
==========================
+---------------------+
| |ciTest| |
+---------------------+
| |rtdM| |
+---------------------+
| |reqM| |
+---------------------+
A Python 3 library implementing the Paillier Partially Homomorphic Encryption.
The homomorphic properties of the paillier crypto system are:
- Encrypted numbers can be multiplied by a non encrypted scalar.
- Encrypted numbers can be added together.
- Encrypted numbers can be added to non encrypted scalars.
Citing
======
`python-paillier` is designed, developed and supported by `CSIRO's Data61 <https://www.data61.csiro.au/>`__. If
you use any part of this library in your research, please cite it using the following BibTex entry::
@misc{PythonPaillier,
author = {CSIRO's Data61},
title = {Python Paillier Library},
year = {2013},
publisher = {GitHub},
journal = {GitHub Repository},
howpublished = {\url{https://github.com/data61/python-paillier}},
}
Running unit tests
------------------
::
python setup.py test
Or use nose::
nosetests
Note related to gmpy2
---------------------
`gmpy2` is not required to use the library, but is preferred. A pure Python implementation is available but
`gmpy2` drastically improves performances. As indication on a laptop not dedicated to benchmarking, running the example
`examples/federated_learning_with_encryption.py` provided in the library took:
- 4.5s with `gmpy2` installed
- 35.7s without `gmpy2` installed
However, `gmpy2` is a requirement to run the tests.
Code History
------------
Developed at `Data61 | CSIRO <http://data61.csiro.au>`_.
Parts derived from the Apache licensed Google project:
https://code.google.com/p/encrypted-bigquery-client/
.. |release| image:: https://img.shields.io/pypi/v/phe.svg
:target: https://pypi.python.org/pypi/phe/
:alt: Latest released version on PyPi
.. |ciTest| image:: https://github.com/data61/python-paillier/actions/workflows/test.yml/badge.svg
:target: https://github.com/data61/python-paillier/actions/workflows/test.yml
:alt: CI Status
.. |reqM| image:: https://requires.io/github/data61/python-paillier/requirements.svg?branch=master
:target: https://requires.io/github/data61/python-paillier/requirements/?branch=master
:alt: Requirements Status of master
.. |rtdM| image:: https://readthedocs.org/projects/python-paillier/badge/?version=stable
:target: http://python-paillier.readthedocs.org/en/latest/?badge=stable
:alt: Documentation Status
+1
-0
phe.egg-info/SOURCES.txt

@@ -0,1 +1,2 @@

LICENSE.txt
README.rst

@@ -2,0 +3,0 @@ setup.cfg

+5
-6
phe/__about__.py

@@ -10,11 +10,10 @@ from __future__ import absolute_import, division, print_function

__summary__ = "Partially Homomorphic Encryption library for Python"
__uri__ = "https://github.com/n1analytics/python-paillier"
__uri__ = "https://github.com/data61/python-paillier"
# We use semantic versioning - semver.org
__version__ = "1.4.0"
__version__ = "1.5.0"
__author__ = "N1 Analytics developers"
__email__ = "info@n1analytics.com"
__author__ = "CSIRO's Data61"
__email__ = "confidential-computing@data61.csiro.au"
__license__ = "GPLv3"
__copyright__ = "Copyright 2013-2018 {0}".format(__author__)
__copyright__ = "Copyright 2013-2019 {0}".format(__author__)
+16
-3
phe/encoding.py

@@ -0,1 +1,2 @@

import fractions
import math

@@ -189,3 +190,5 @@ import sys

int_rep = int(round(scalar * pow(cls.BASE, -exponent)))
# Use rationals instead of floats to avoid overflow.
int_rep = round(fractions.Fraction(scalar)
* fractions.Fraction(cls.BASE) ** -exponent)

@@ -221,3 +224,13 @@ if abs(int_rep) > public_key.max_int:

return mantissa * pow(self.BASE, self.exponent)
if self.exponent >= 0:
# Integer multiplication. This is exact.
return mantissa * self.BASE ** self.exponent
else:
# BASE ** -e is an integer, so below is a division of ints.
# Not coercing mantissa to float prevents some overflows.
try:
return mantissa / self.BASE ** -self.exponent
except OverflowError as e:
raise OverflowError(
'decoded result too large for a float') from e

@@ -254,2 +267,2 @@ def decrease_exponent_to(self, new_exp):

new_enc = self.encoding * factor % self.public_key.n
return self.__class__(self.public_key, new_enc, new_exp)
return self.__class__(self.public_key, new_enc, new_exp)
+18
-8
phe/paillier.py

@@ -29,5 +29,8 @@ #!/usr/bin/env python3

from phe import EncodedNumber
from phe.util import invert, powmod, getprimeover, isqrt
from phe.util import invert, powmod, mulmod, getprimeover, isqrt
DEFAULT_KEYSIZE = 2048
# Paillier cryptosystem is based on integer factorisation.
# The default is chosen to give a minimum of 128 bits of security.
# https://www.keylength.com/en/4/
DEFAULT_KEYSIZE = 3072

@@ -126,2 +129,3 @@

neg_plaintext = self.n - plaintext # = abs(plaintext - nsquare)
# avoid using gmpy2's mulmod when a * b < c
neg_ciphertext = (self.n * neg_plaintext + 1) % self.nsquare

@@ -137,3 +141,3 @@ nude_ciphertext = invert(neg_ciphertext, self.nsquare)

return (nude_ciphertext * obfuscator) % self.nsquare
return mulmod(nude_ciphertext, obfuscator, self.nsquare)

@@ -345,4 +349,10 @@ def get_random_lt_n(self):

decrypt_to_p = self.l_function(powmod(ciphertext, self.p-1, self.psquare), self.p) * self.hp % self.p
decrypt_to_q = self.l_function(powmod(ciphertext, self.q-1, self.qsquare), self.q) * self.hq % self.q
decrypt_to_p = mulmod(
self.l_function(powmod(ciphertext, self.p-1, self.psquare), self.p),
self.hp,
self.p)
decrypt_to_q = mulmod(
self.l_function(powmod(ciphertext, self.q-1, self.qsquare), self.q),
self.hq,
self.q)
return self.crt(decrypt_to_p, decrypt_to_q)

@@ -367,3 +377,3 @@

"""
u = (mq - mp) * self.p_inverse % self.q
u = mulmod(mq - mp, self.p_inverse, self.q)
return mp + (u * self.p)

@@ -618,3 +628,3 @@

r_pow_n = powmod(r, self.public_key.n, self.public_key.nsquare)
self.__ciphertext = self.__ciphertext * r_pow_n % self.public_key.nsquare
self.__ciphertext = mulmod(self.__ciphertext, r_pow_n, self.public_key.nsquare)
self.__is_obfuscated = True

@@ -715,3 +725,3 @@

"""
return e_a * e_b % self.public_key.nsquare
return mulmod(e_a, e_b, self.public_key.nsquare)

@@ -718,0 +728,0 @@ def _raw_mul(self, plaintext):

+0
-6
phe/tests/cli_test.py
import json
import random
import unittest
from unittest import TestCase
import tempfile
import io
import sys
import click
from click.testing import CliRunner
import phe.command_line
from phe.command_line import cli

@@ -15,0 +9,0 @@ 

+10
-0
phe/tests/paillier_test.py

@@ -1088,2 +1088,12 @@ #!/usr/bin/env python

class TestIssue62(unittest.TestCase):
def testIssue62(self):
pub, priv = paillier.generate_paillier_keypair()
a = pub.encrypt(445)
# Force big exponent.
b = pub.encrypt(0.16413409062205825) + pub.encrypt(2 ** -965)
# This will raise OverflowError without bugfix #73.
priv.decrypt(a + b)
def main():

@@ -1090,0 +1100,0 @@ unittest.main()

+15
-1
phe/util.py

@@ -36,4 +36,4 @@ # This file is part of pyphe.

_USE_MOD_FROM_GMP_SIZE = (1 << (8*2))
_USE_MULMOD_FROM_GMP_SIZE = (1 << 1000) # pow(2, 1000)
def powmod(a, b, c):

@@ -54,2 +54,16 @@ """

def mulmod(a, b, c):
"""
Uses GMP, if available, to do a * b mod c, where a, b, c
are integers.
:return int: (a * b) % c
"""
if not HAVE_GMP or max(a, b, c) < _USE_MULMOD_FROM_GMP_SIZE:
return a * b % c
else:
a, b, c = gmpy2.mpz(a), gmpy2.mpz(b), gmpy2.mpz(c)
return int(gmpy2.mod(gmpy2.mul(a, b), c))
def extended_euclidean_algorithm(a, b):

@@ -56,0 +70,0 @@ """Extended Euclidean algorithm

+100
-83
PKG-INFO

@@ -1,83 +0,10 @@

Metadata-Version: 1.1
Metadata-Version: 2.1
Name: phe
Version: 1.4.0
Version: 1.5.0
Summary: Partially Homomorphic Encryption library for Python
Home-page: https://github.com/n1analytics/python-paillier
Author: N1 Analytics developers
Author-email: info@n1analytics.com
Home-page: https://github.com/data61/python-paillier
Download-URL: https://pypi.python.org/pypi/phe/#downloads
Author: CSIRO's Data61
Author-email: confidential-computing@data61.csiro.au
License: GPLv3
Download-URL: https://pypi.python.org/pypi/phe/#downloads
Description: python-paillier |release|
==========================
+---------------------+
| |travisM| |
+---------------------+
| |rtdM| |
+---------------------+
| |reqM| |
+---------------------+
A Python 3 library for Partially Homomorphic Encryption.
The homomorphic properties of the paillier crypto system are:
- Encrypted numbers can be multiplied by a non encrypted scalar.
- Encrypted numbers can be added together.
- Encrypted numbers can be added to non encrypted scalars.
Running unit tests
------------------
::
python setup.py test
Or use nose::
nosetests
Note related to gmpy2
---------------------
`gmpy2` is not required to use the library, but is preferred. A pure Python implementation is available but
`gmpy2` drastically improves performances. As indication on a laptop not dedicated to benchmarking, running the example
`examples/federated_learning_with_encryption.py` provided in the library took:
- 4.5s with `gmpy2` installed
- 35.7s without `gmpy2` installed
However, `gmpy2` is a requirement to run the tests.
Code History
------------
Developed at `Data61 | CSIRO <http://data61.csiro.au>`_.
Parts derived from the Apache licensed Google project:
https://code.google.com/p/encrypted-bigquery-client/
No audit
--------
This code has neither been written nor vetted by any sort of crypto
expert. The crypto parts are mercifully short, however.
.. |release| image:: https://img.shields.io/pypi/v/phe.svg
:target: https://pypi.python.org/pypi/phe/
:alt: Latest released version on PyPi
.. |travisM| image:: https://travis-ci.org/n1analytics/python-paillier.svg?branch=master
:target: https://travis-ci.org/n1analytics/python-paillier
:alt: CI status of Master
.. |reqM| image:: https://requires.io/github/n1analytics/python-paillier/requirements.svg?branch=master
:target: https://requires.io/github/n1analytics/python-paillier/requirements/?branch=master
:alt: Requirements Status of master
.. |rtdM| image:: https://readthedocs.org/projects/python-paillier/badge/?version=stable
:target: http://python-paillier.readthedocs.org/en/latest/?badge=stable
:alt: Documentation Status
Keywords: cryptography encryption homomorphic

@@ -92,5 +19,95 @@ Platform: UNKNOWN

Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.3
Classifier: Programming Language :: Python :: 3.4
Classifier: Programming Language :: Python :: 3.5
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: 3.7
Classifier: Programming Language :: Python :: 3.8
Classifier: Programming Language :: Python :: 3.9
Classifier: Programming Language :: Python :: 3.10
Classifier: Programming Language :: Python :: 3.11
Provides-Extra: cli
Provides-Extra: examples
License-File: LICENSE.txt
python-paillier |release|
==========================
+---------------------+
| |ciTest| |
+---------------------+
| |rtdM| |
+---------------------+
| |reqM| |
+---------------------+
A Python 3 library implementing the Paillier Partially Homomorphic Encryption.
The homomorphic properties of the paillier crypto system are:
- Encrypted numbers can be multiplied by a non encrypted scalar.
- Encrypted numbers can be added together.
- Encrypted numbers can be added to non encrypted scalars.
Citing
======
`python-paillier` is designed, developed and supported by `CSIRO's Data61 <https://www.data61.csiro.au/>`__. If
you use any part of this library in your research, please cite it using the following BibTex entry::
@misc{PythonPaillier,
author = {CSIRO's Data61},
title = {Python Paillier Library},
year = {2013},
publisher = {GitHub},
journal = {GitHub Repository},
howpublished = {\url{https://github.com/data61/python-paillier}},
}
Running unit tests
------------------
::
python setup.py test
Or use nose::
nosetests
Note related to gmpy2
---------------------
`gmpy2` is not required to use the library, but is preferred. A pure Python implementation is available but
`gmpy2` drastically improves performances. As indication on a laptop not dedicated to benchmarking, running the example
`examples/federated_learning_with_encryption.py` provided in the library took:
- 4.5s with `gmpy2` installed
- 35.7s without `gmpy2` installed
However, `gmpy2` is a requirement to run the tests.
Code History
------------
Developed at `Data61 | CSIRO <http://data61.csiro.au>`_.
Parts derived from the Apache licensed Google project:
https://code.google.com/p/encrypted-bigquery-client/
.. |release| image:: https://img.shields.io/pypi/v/phe.svg
:target: https://pypi.python.org/pypi/phe/
:alt: Latest released version on PyPi
.. |ciTest| image:: https://github.com/data61/python-paillier/actions/workflows/test.yml/badge.svg
:target: https://github.com/data61/python-paillier/actions/workflows/test.yml
:alt: CI Status
.. |reqM| image:: https://requires.io/github/data61/python-paillier/requirements.svg?branch=master
:target: https://requires.io/github/data61/python-paillier/requirements/?branch=master
:alt: Requirements Status of master
.. |rtdM| image:: https://readthedocs.org/projects/python-paillier/badge/?version=stable
:target: http://python-paillier.readthedocs.org/en/latest/?badge=stable
:alt: Documentation Status
+24
-13
README.rst

@@ -5,3 +5,3 @@ python-paillier |release|

+---------------------+
| |travisM| |
| |ciTest| |
+---------------------+

@@ -13,3 +13,3 @@ | |rtdM| |

A Python 3 library for Partially Homomorphic Encryption.
A Python 3 library implementing the Paillier Partially Homomorphic Encryption.

@@ -22,2 +22,18 @@ The homomorphic properties of the paillier crypto system are:

Citing
======
`python-paillier` is designed, developed and supported by `CSIRO's Data61 <https://www.data61.csiro.au/>`__. If
you use any part of this library in your research, please cite it using the following BibTex entry::
@misc{PythonPaillier,
author = {CSIRO's Data61},
title = {Python Paillier Library},
year = {2013},
publisher = {GitHub},
journal = {GitHub Repository},
howpublished = {\url{https://github.com/data61/python-paillier}},
}
Running unit tests

@@ -34,2 +50,3 @@ ------------------

Note related to gmpy2

@@ -54,9 +71,3 @@ ---------------------

No audit
--------
This code has neither been written nor vetted by any sort of crypto
expert. The crypto parts are mercifully short, however.
.. |release| image:: https://img.shields.io/pypi/v/phe.svg

@@ -66,8 +77,8 @@ :target: https://pypi.python.org/pypi/phe/

.. |travisM| image:: https://travis-ci.org/n1analytics/python-paillier.svg?branch=master
:target: https://travis-ci.org/n1analytics/python-paillier
:alt: CI status of Master
.. |ciTest| image:: https://github.com/data61/python-paillier/actions/workflows/test.yml/badge.svg
:target: https://github.com/data61/python-paillier/actions/workflows/test.yml
:alt: CI Status
.. |reqM| image:: https://requires.io/github/n1analytics/python-paillier/requirements.svg?branch=master
:target: https://requires.io/github/n1analytics/python-paillier/requirements/?branch=master
.. |reqM| image:: https://requires.io/github/data61/python-paillier/requirements.svg?branch=master
:target: https://requires.io/github/data61/python-paillier/requirements/?branch=master
:alt: Requirements Status of master

@@ -74,0 +85,0 @@ 

+1
-2
setup.cfg

@@ -8,5 +8,4 @@ [metadata]

[egg_info]
tag_build =
tag_date = 0
tag_svn_revision = 0
tag_build = 
+5
-4
setup.py

@@ -45,6 +45,7 @@

'Programming Language :: Python :: 3',
'Programming Language :: Python :: 3.3',
'Programming Language :: Python :: 3.4',
'Programming Language :: Python :: 3.5',
'Programming Language :: Python :: 3.6',
'Programming Language :: Python :: 3.7',
'Programming Language :: Python :: 3.8',
'Programming Language :: Python :: 3.9',
'Programming Language :: Python :: 3.10',
'Programming Language :: Python :: 3.11',
],

@@ -51,0 +52,0 @@ keywords="cryptography encryption homomorphic",