One Stop Anomaly Shop with python
One Stop Anomaly Shop (OSAS)
This repository implements the models, methods and techniques presented in our paper: A Principled Approach to Enriching Security-related Data for Running Processes through Statistics and Natural Language Processing.
One Stop Anomaly Shop: Anomaly detection using two-phase approach: (a) pre-labeling using statistics, Natural Language Processing and static rules; (b) anomaly scoring using supervised and unsupervised machine learning.
Introduction video (follows quick start guide)
This video is a recording of our Hack In The Box (HITB) Security Conference 2021 Amsterdam presentation.
Quick start guide
Step 1: Get/build the docker image
Option 1: Use precompiled image (might not reflect latest changes):
docker pull tiberiu44/osas:latest
docker image tag tiberiu44/osas:latest osas:latest