This project aims to provide insightful data visualizations of cybersecurity attacks by using python language. By analyzing various datasets, we can better understand the trends, patterns, and impacts of these attacks, which is crucial for enhancing cybersecurity measures.
To get started, clone the repository and install the required dependencies.
git clone https://github.com/yourusername/Data_Visualization_CyberSecurity_attacks.git
cd Data_Visualization_CyberSecurity_attacksThe notebook includes various visualizations such as:
This bar chart visualizes the distribution of different types of cybersecurity attacks, highlighting that exploits are the most common attack category.
This pie chart illustrates the proportion of the top five types of cybersecurity attacks, with exploits being the most prevalent, accounting for 41% of the total attacks.
This heatmap shows the distribution of various attack types across different destination IP addresses, highlighting the intensity and frequency of attacks.
