User Behaviour Analytics

To aggregate and analyze machine data for Operational Intelligence using User Behavior Analytics(UBA). It creates multi-dimensional behavior baselines around users, service accounts, devices, and applications then executing unsupervised machine learning algorithms to generate anomalies and threats. Thus providing Insider security for an organization.

Use Case:

• Advanced Threat Detection
• Higher Productivity
• Threat Hunting
• Enhance Visibility and Detection
• Fraudulent website Activity

Installation

Fork this repository (Click the Fork button in the top right of this page, click your Profile Image) Clone your fork down to your local machine

git clone https://github.com/your-username/UBA.git

1. Install pip3 if you don't have it already

    curl "https://bootstrap.pypa.io/get-pip.py" -o "get-pip.py"
    python3 get-pip.py     
    sudo python3 get-pip.py

2. Install the python dependencies and execute the makefile

pip3 install requirements.txt
make

3. Install HADOOP and JDK
4. Configure Spark environment by running spark_env.sh

bash spark_env.sh 
OR
./spark_env.sh

5. Run the node server

cd interface
npm init
npm start

6. Point your browser to localhost:3000 to view the web app running
7. Run the python scripts

python3 filename.py