TryHackme’s Advent of Cyber 2023 — Day 2Writeup

Log Analysis — O Data, All Ye Faithful | TryHackMe | Advent of Cyber 2023 — Day 2

Data Science in Cybersecurity

The use of data science is quickly becoming more frequent in Cybersecurity because of its ability to offer insights. Analysing data, such as log events, leads to an intelligent understanding of ongoing events within an organisation. Using data science for anomaly detection is an example. Other uses of data science in Cybersecurity include:

• SIEM: SIEMs collect and correlate large amounts of data to give a wider understanding of the organisation’s landscape.
• Threat trend analysis: Emerging threats can be tracked and understood.
• Predictive analysis: By analysing historical events, you can create a potential picture of what the threat landscape may look like in the future. This can aid in the prevention of incidents.

Learning Objectives

In today’s task, you will:

Get an introduction to what data science involves and how it can be applied in Cybersecurity

Get a gentle (We promise) introduction to Python

Get to work with some popular Python libraries such as…