Aesthetic-pie/Malware-Attack-Data-Analysis-Project

GitHub: Aesthetic-pie/Malware-Attack-Data-Analysis-Project

Stars: 0 | Forks: 0

# 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.