Cyber Anomaly Detection using RNN Language model

The work in this project is based on the paper "Recurrent Neural Network Language Models for Open Vocabulary Event-Level Cyber Anomaly Detection"

The paper is referencing this LANL security data "Comprehensive, Multi-Source Cyber-Security Events" only the proc.txt and redteam.txt are used in the paper.

The project consists of different experimental code:

• experiment1: The implementation is loosly based on the safekit project code.
• experiment2: Our own implementation using Keras model and Tensorflow Eager execution.

• Extend the language model to include attention as described in the paper "Recurrent Neural Network Attention Mechanisms for Interpretable System Log Anomaly Detection"
• Experiment with an encoder/decoder language models
• Running system with multiple tasks to process user logs using RISELab Ray