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Mixnet: Add basic structure and topology construction (#44)
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mixnet/__init__.py
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mixnet/__init__.py
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mixnet/bls.py
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mixnet/bls.py
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from typing import TypeAlias
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import blspy
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from mixnet.utils import random_bytes
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BlsPrivateKey: TypeAlias = blspy.PrivateKey
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BlsPublicKey: TypeAlias = blspy.G1Element
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def generate_bls() -> BlsPrivateKey:
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seed = random_bytes(32)
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return blspy.BasicSchemeMPL.key_gen(seed)
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mixnet/fisheryates.py
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mixnet/fisheryates.py
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import random
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from typing import List
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class FisherYates:
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@staticmethod
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def shuffle(elements: List, entropy: bytes) -> List:
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"""
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Fisher-Yates shuffling algorithm.
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In Python, random.shuffle implements the Fisher-Yates shuffling.
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https://en.wikipedia.org/wiki/Fisher%E2%80%93Yates_shuffle
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https://softwareengineering.stackexchange.com/a/215780
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:param elements: elements to be shuffled
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:param entropy: a seed for deterministic sampling
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"""
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out = elements.copy()
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random.seed(a=entropy, version=2)
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random.shuffle(out)
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# reset seed
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random.seed()
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return out
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mixnet/mixnet.py
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mixnet/mixnet.py
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from __future__ import annotations
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from dataclasses import dataclass
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from typing import List, TypeAlias
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from cryptography.hazmat.primitives.asymmetric.x25519 import (
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X25519PrivateKey,
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X25519PublicKey,
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)
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from mixnet.bls import BlsPrivateKey, BlsPublicKey
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from mixnet.fisheryates import FisherYates
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NodeId: TypeAlias = BlsPublicKey
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# 32-byte that represents an IP address and a port of a mix node.
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NodeAddress: TypeAlias = bytes
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@dataclass
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class Mixnet:
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mix_nodes: List[MixNode]
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# Build a new topology deterministically using an entropy.
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# The entropy is expected to be injected from outside.
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#
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# TODO: Implement constructing a new topology in advance to minimize the topology transition time.
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# https://www.notion.so/Mixnet-Specification-807b624444a54a4b88afa1cc80e100c2?pvs=4#9a7f6089e210454bb11fe1c10fceff68
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def build_topology(
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self,
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entropy: bytes,
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n_layers: int,
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n_nodes_per_layer: int,
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) -> MixnetTopology:
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num_nodes = n_nodes_per_layer * n_layers
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assert num_nodes < len(self.mix_nodes)
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shuffled = FisherYates.shuffle(self.mix_nodes, entropy)
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sampled = shuffled[:num_nodes]
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layers = []
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for l in range(n_layers):
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start = l * n_nodes_per_layer
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layer = sampled[start : start + n_nodes_per_layer]
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layers.append(layer)
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return MixnetTopology(layers)
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@dataclass
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class MixNode:
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identity_public_key: BlsPublicKey
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encryption_public_key: X25519PublicKey
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addr: NodeAddress
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def __init__(
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self,
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identity_private_key: BlsPrivateKey,
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encryption_private_key: X25519PrivateKey,
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addr: NodeAddress,
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):
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self.identity_public_key = identity_private_key.get_g1()
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self.encryption_public_key = encryption_private_key.public_key()
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self.addr = addr
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@dataclass
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class MixnetTopology:
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layers: List[List[MixNode]]
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mixnet/test_fisheryates.py
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mixnet/test_fisheryates.py
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from unittest import TestCase
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from mixnet.fisheryates import FisherYates
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class TestFisherYates(TestCase):
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def test_shuffle(self):
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entropy = b"hello"
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elems = [1, 2, 3, 4, 5]
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shuffled1 = FisherYates.shuffle(elems, entropy)
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self.assertEqual(sorted(elems), sorted(shuffled1))
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# shuffle again with the same entropy
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shuffled2 = FisherYates.shuffle(elems, entropy)
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self.assertEqual(shuffled1, shuffled2)
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# shuffle with a different entropy
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shuffled3 = FisherYates.shuffle(elems, b"world")
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self.assertNotEqual(shuffled1, shuffled3)
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self.assertEqual(sorted(elems), sorted(shuffled3))
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mixnet/test_mixnet.py
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mixnet/test_mixnet.py
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from unittest import TestCase
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from cryptography.hazmat.primitives.asymmetric.x25519 import X25519PrivateKey
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from mixnet.bls import generate_bls
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from mixnet.mixnet import Mixnet, MixNode
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from mixnet.utils import random_bytes
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class TestMixnet(TestCase):
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def test_build_topology(self):
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nodes = [
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MixNode(generate_bls(), X25519PrivateKey.generate(), random_bytes(32))
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for _ in range(12)
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]
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mixnet = Mixnet(nodes)
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topology = mixnet.build_topology(b"entropy", 3, 3)
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self.assertEqual(len(topology.layers), 3)
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for layer in topology.layers:
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self.assertEqual(len(layer), 3)
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mixnet/utils.py
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mixnet/utils.py
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from random import randint
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def random_bytes(size: int) -> bytes:
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assert size >= 0
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return bytes([randint(0, 255) for _ in range(size)])
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blspy~=1.0.16
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scipy~=1.10.1
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blspy==1.0.16
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cffi==1.16.0
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cryptography==41.0.7
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numpy==1.26.2
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pycparser==2.21
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scipy==1.10.1
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