Project Experiment and Work Flow

Welcome to the Phishing-Detection wiki!

Progression For URL Detection:

1. Prepare and preprocess data.
2. Train and validate the GRU model with combined input (features + tokenization).
3. Develop a Flask API for real-time prediction.
4. Deploy the API on Chameleon Cloud.
5. Test and monitor the real-time system.

High-Level Approach to combining Tokenization and Feature Extraction:

• Extract URL features
• Tokenize the URL text for input to the GRU model
• Combine features + tokenized URL into a single input to the GRU model
• Train a new GRU model that processes both inputs before a prediction