An E2EE Data Engine
Project description
Neuronum: An E2EE Data Engine
Getting Started into the Neuronum Network
In this brief getting started guide, you will:
About Neuronum
Neuronum is a real-time, end-to-end encrypted data engine built in Python. It enables secure communication between devices and services by encrypting data client-side using the recipient's public key. Encrypted messages are transmitted through a passive relay server and decrypted on the recipient’s device using its private key. The relay server facilitates connectivity but cannot access or alter the content of messages.
Requirements
- Python >= 3.8
Connect To Neuronum
Installation (optional but recommended: create a virtual environment)
pip install neuronum
Create your Cell (your secure identity):
neuronum create-cell
or
Connect an existing Cell (your secure identity):
neuronum connect-cell
Transmit Data Securely
import asyncio
from neuronum import Cell
async def main():
async with Cell() as cell:
data = {
"some": "data" # Replace with your actual payload
}
# Use activate_tx() if you expect a response from the other cell
# Replace id with the actual Cell ID
tx_response = await cell.activate_tx("id::cell", data)
print(tx_response)
# Stream data to another cell (no response expected)
# Replace id with the actual Cell ID
await cell.stream("id::cell", data)
if __name__ == '__main__':
asyncio.run(main())
Receive Data Securely
import asyncio
from neuronum import Cell
async def main():
async with Cell() as cell:
async for transmitter in cell.sync():
ts_str = transmitter.get("time")
data = transmitter.get("data")
transmitter_id = transmitter.get("transmitter_id")
client_public_key = data.get("public_key", {})
response_data = {
"json": "Data Received Securely - Your request was processed successfully",
"html": """
<!DOCTYPE html>
<html lang="en">
<head>
<meta charset="UTF-8">
<title>Secure Data Response</title>
</head>
<body>
<h3>Data Received Securely</h3>
<p>Your request was processed successfully.</p>
</body>
</html>
"""
}
await cell.tx_response(transmitter_id, response_data, client_public_key)
if __name__ == '__main__':
asyncio.run(main())
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