Merging Datasets of CyberSecurity Incidents for Fun and Insight.

Area of Science:

• Cybersecurity
• Data Science
• Information Security

Background:

• Assessing cybersecurity posture necessitates comprehensive threat intelligence.
• Historical data on past cyber incidents is crucial for informed decision-making.
• Limited availability of high-quality, public cybersecurity incident datasets hinders analysis.

Purpose of the Study:

• To aggregate publicly available cybersecurity incident datasets into a single, comprehensive resource.
• To enable statistically significant analysis of historical cyber threats.
• To improve the understanding and prevention of future cybersecurity incidents.

Main Methods:

• Systematic collection of all accessible public cybersecurity incident datasets.
• Creation of a consolidated, large-scale dataset.
• Statistical analysis of the combined dataset to assess its quality and derive insights.
• Comparison of findings with existing cybersecurity literature.

Main Results:

• A unified dataset of cybersecurity incidents has been constructed.
• The combined dataset demonstrates statistical validity for analysis.
• Initial analysis provides insights into cyber threat patterns and trends.
• Findings are compared with existing research to highlight contributions.

Conclusions:

• The consolidated dataset offers a valuable resource for cybersecurity research.
• Further analysis can yield statistically significant observations for threat prevention.
• The approach highlights the need for improved data sharing in cybersecurity.
• Future research directions include refining the dataset and expanding analytical methods.