Hello! This is a project for my Advanced Network Security class at Arizona State University. Overall, the project is centered around understanding the effectiveness of machine learning models for anomaly detection in computer networks. The project consists of three tasks.
The project consists of three tasks.
- Anomaly Detection Accuracy with Unknown Attacks
- Artificial Neural Networks versus Recurrent Neural Networks
- Unsupervised Training for Detecting Network Attacks
PDF Report can be found here.
Source Code can be found here.
Youtube Video Demonstration of Project: