SP-110-Red-Linux

SP-110-Red-Linux

Behavior-Based Anomaly Detection in Linux User Activity Logs

Course: CS 4850 Section 02 | Semester: Spring 2026

This project focuses on behavior-based anomaly detection in Linux user activity and authentication logs. Our system uses machine learning techniques to identify unusual or suspicious behavior.

Team member 1

Emma Dietz | Team Lead, Development & Documentation

Team member 2

Luke McLendon | Documentation & Testing

Team member 3

Chaathurya Nakkana | Development & Documentation

Team member 4

Noor Aftab | Documentation & Testing

Project Links

Final Report PDF **(still need to add) GitHub Repository Final Presentation Video **(still need to add)