NomMix Simulation
Features
- Simulate the NomMix protocol with the given parameters.
- Measure the performance of the NomMix protocol.
- Bandwidth usages
- Analyze the privacy properties that the NomMix protocol provides.
- Message sizes
- Node states and hamming distances
Future Plans
- Simulate more features of the NomMix protocol.
- Temporal mixing
- Level-1 noise
- Simulate possible adversarial attacks and measure the robustness of the NomMix protocol.
Installation
Clone the repository and install the dependencies:
git clone https://github.com/logos-co/nomos-specs.git
cd nomos-specs
python3 -m venv .venv
source .venv/bin/activate
pip install -r requirements.txt
Getting Started
Copy the mixnet/sim/config.ci.yaml file and adjust the parameters to your needs.
Each parameter is explained in the config file.
For more details, please refer to the documentation.
Run the simulation with the following command:
python -m mixnet.sim.main --config {config_path}
All results are printed in the console as below. And, all plots are shown once all analysis is done.
==========================================
Message Size Distribution
==========================================
msg_size count
0 1405 99990
==========================================
Node States of All Nodes over Time
SENDING:-1, IDLE:0, RECEIVING:1
==========================================
Node-0 Node-1 Node-2 Node-3 Node-4
0 0 0 0 0 0
1 0 0 0 0 0
2 0 0 0 0 0
3 0 0 0 0 0
4 0 0 0 0 0
... ... ... ... ... ...
999995 0 0 0 0 0
999996 0 0 0 0 0
999997 0 0 0 0 0
999998 0 0 0 0 0
999999 0 0 0 0 0
[1000000 rows x 5 columns]
Saved DataFrame to all_node_states_2024-07-15T18:20:23.csv
State Counts per Node:
Node-0 Node-1 Node-2 Node-3 Node-4
0 970003 970003 970003 970003 970003
1 19998 19998 19998 19998 19998
-1 9999 9999 9999 9999 9999
Simulation complete!
Please note that the result of node state analysis is saved as a CSV file, as printed in the console.
Saved DataFrame to all_node_states_2024-07-15T18:20:23.csv
If you run the simulation again with the different parameters and want to compare the results of two simulations, you can calculate the hamming distance between them:
python -m mixnet.sim.hamming \
all_node_states_2024-07-15T18:20:23.csv \
all_node_states_2024-07-15T19:32:45.csv
The output is a floating point number between 0 and 1. If the output is 0, the results of two simulations are identical. The closer the result is to 1, the more the two results differ from each other.
Hamming distance: 0.29997