
The objective of this project is to build an automated malware threat scoring system that evaluates detected malware severity. The system assigns risk scores based on behavior, impact, and spread potential, assisting security teams in prioritizing response actions.
Study malware impact assessment methodologies.
Identify factors influencing malware risk levels.
Design a scoring model combining multiple detection indicators.
Assign weighted scores to behavioral and static features.
Implement real-time threat scoring logic.
Develop dashboards displaying threat severity levels.
Generate prioritized incident response reports.
Test scoring accuracy using varied malware scenarios.
Evaluate system effectiveness in decision-making.
Analyze false risk classification cases.
Document scoring framework and improvement areas.