Jupyter Notebooks is an open-source web application that allows you to create and share documents containing live code, equations, visualisations, and narrative text. It supports multiple programming languages, including Python, R, and Julia. Traditionally Jupyter Notebooks is used in data science however its becoming more common for cyber security professionals to leverage the power of Jupyter Notebooks for cyber security defensive operations.
In the context of cybersecurity, Jupyter Notebooks have several applications:
Data Analysis and Visualisation: Cybersecurity professionals use Jupyter Notebooks for analysing network traffic, logs, and incident data. They can visualize this data to identify patterns and anomalies that may indicate a security threat.
Machine Learning: Jupyter is ideal for developing and testing machine learning models used in threat detection and response systems.
Incident Response and Forensics: During security incidents, responders can use Jupyter Notebooks to document their findings, automate repetitive tasks, and visualize forensic data.
Education and Training: Given their interactive nature, Jupyter Notebooks are excellent tools for cybersecurity training and education, allowing for hands-on learning.
Automation and Tool Integration: They can be used to automate repetitive tasks and integrate various cybersecurity tools, facilitating a more efficient workflow.
In this TryHackMe room I am leveraging JN to analyse network traffic from a spreadsheet.
It's such a powerful tool, I love this. I am going to have to set aside some time over Xmas to further my Jupyter Notebook learning.