Runtime Anomaly Detection Pipeline using State Machines for Microservice Architectures

This repository contains the source code for the runtime anomaly detection pipeline developed for the AssureMOSS project (Work Package 4).

Installation

The pipeline is implemented in Python 3 and uses the following libraries:

• pandas>=1.3.5
• numpy>=1.20.0
• tqdm>=4.62.3
• elasticsearch==7.12.1
• encode-netflow==0.3.0

You can install the required libraries using the following command:

pip install -r requirements.txt

You will also have to install python-wrapper for the Flexfringe tool by cloning the following repository:

git clone https://github.com/ClintonCao/FlexFringe-python.git

and then installing the package using the following command:

pip install .

Usage

You can use the ms_detection.py script to do detection on a network level and the runtime_monitoring.py script to do detection on a pod level.