🔐 CKKS Homomorphic Encryption for VR Motion Telemetry

This project demonstrates privacy-preserving analytics on VR telemetry data using the CKKS scheme from Microsoft SEAL. It includes scripts to test encryption setup and encrypt controllerSpeed values from pre-processed user motion CSV files.

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📂 Project Overview

• testscript.py – Tests your local SEAL setup with a sample normalized CSV
• he.py – Encrypts the controllerSpeed field across all normalized files for all users
• Outputs encrypted batches (not saved to disk, demo-level encryption)

📄 The input folder is expected to be structured like:

chunk1/
├── user1/
│   └── session1_normalized.csv
├── user2/
│   └── session2_normalized.csv
...

Each CSV must contain the column: controllerSpeed.

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🧰 Technologies Used

• Microsoft SEAL (via seal Python wrapper)
• Python 3.9+
• CKKS encryption scheme
• pandas – for CSV I/O
• pybind11 – to enable native SEAL bindings

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⚙️ How to Run

1. Install dependencies:

pip install -r requirements.txt

2. Ensure Microsoft SEAL is properly installed and compiled for Python using pybind11.

3. Run environment test:

python testscript.py

4. Run full encryption pipeline:

python he.py

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🔐 What Is Encrypted?

• The column saberSpeed is encrypted using CKKS with:
  • Polynomial modulus degree: 8192
  • Coefficient modulus: [60, 40, 40, 60]
  • Scale: 2^40

Encrypted values are stored in memory as ciphertexts (not written to disk).

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✅ Use Case

This script is ideal for:

• Testing Microsoft SEAL integration
• Learning how homomorphic encryption can secure real-valued telemetry
• Academic research in privacy-preserving analytics

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👩‍💻 Author

Created by Jayasri

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📄 License

MIT License — use and adapt with attribution.