Aesthetic-pie/Malware-Attack-Data-Analysis-Project
GitHub: Aesthetic-pie/Malware-Attack-Data-Analysis-Project
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# Overview
This project focuses on analyzing malware and ransomware attack data using data analytics and visualization techniques. The goal of the project is to identify cyberattack trends, financial impact, affected industries, attack severity, and downtime caused by malware incidents.
## Objectives
Analyze malware attack trends and patterns
Identify industries most affected by cyberattacks
Measure financial losses caused by malware incidents
Visualize downtime and attack severity
Create interactive cybersecurity dashboards for reporting and analysis
## Features
Interactive Power BI dashboard
Malware attack trend analysis
Financial impact visualization
Downtime analysis
Industry-based attack comparison
Risk and threat insights
Data filtering and drill-down capabilities
## Technologies Used
Power BI – Data visualization and dashboard creation
Microsoft Excel / CSV – Data storage and preprocessing
Data Analytics Techniques – Trend analysis and reporting
Cybersecurity Research – Threat analysis and interpretation
## Dataset
The dataset used in this project contains information related to malware and ransomware incidents, including:
Attack type
Industry targeted
Financial loss
Downtime duration
Severity level
Country/region affected
## Project Structure
Malware-Attack-Data-Analysis/
│
├── Dataset/
│ └── malware_attack_data.csv
│
├── Dashboard/
│ └── malware_analysis_dashboard.pbix
│
├── Images/
│ └── dashboard_preview.png
│
└── README.md
## Dashboard Insights
The dashboard helps users:
Understand current cyber threat trends
Identify high-risk industries
Monitor financial damage caused by malware attacks
Analyze attack frequency and severity
Support cybersecurity awareness initiatives
## Skills Demonstrated
Data Analysis
Cybersecurity Analytics
Data Visualization
Dashboard Design
Threat Intelligence Interpretation
Business Intelligence Reporting
## Future Improvements
Integrate real-time threat intelligence feeds
Add machine learning predictions for attack trends
Expand dataset with global cybersecurity reports
Improve dashboard interactivity and automation
## Author
Developed as a cybersecurity and data analytics project to demonstrate practical skills in threat analysis, visualization, and reporting using Power BI.