SecureIoT-NLP

NLP-based security and privacy risk detection for IoT automation rules.

Problem

Smart home automation rules (e.g., "If door unlocks, turn off camera") can introduce security vulnerabilities and privacy leaks. Existing IoT platforms don't analyze rules for risk before deployment.

Approach

• Parse IoT automation rules from trigger-action datasets
• Extract semantic features using NLP preprocessing
• Classify rules by risk category (security, privacy, safety, benign)
• Flag dangerous rule combinations before they're deployed

Tech Stack

Python NLP scikit-learn pandas

Project Structure

SecureIoT-NLP/
├── src/
│   ├── data_exploration.py    # Dataset analysis
│   └── data_preprocessing.py  # Feature extraction pipeline
├── data/                      # IoT rule datasets
├── models/                    # Trained classifiers
├── docs/                      # Documentation
└── script.py                  # Entry point

Usage

pip install -r requirements.txt
python script.py

License

MIT