Improving Threat Mitigation Through a Cybersecurity Risk Management Framework: A Computational Design Science Approach

Abstract

Cybersecurity risk management has become increasingly complex as organizations face sophisticated and evolving threats. This paper presents a computational design science approach for improving threat mitigation through a comprehensive cybersecurity risk management framework. We develop a systematic methodology that combines design science principles with computational techniques to enhance cybersecurity risk assessment and mitigation strategies.

Our research addresses the challenges of:

• Risk Assessment: Comprehensive evaluation of cybersecurity risks
• Design Science Methodology: Systematic approach to framework development
• Computational Techniques: Integration of advanced computational methods
• Threat Mitigation: Practical strategies for reducing cybersecurity risks

The framework provides a structured approach to cybersecurity risk management and demonstrates improved effectiveness in threat mitigation.

Key Contributions

1. Computational Design Science Framework: Novel methodology combining design science and computational techniques
2. Risk Assessment Model: Comprehensive approach to cybersecurity risk evaluation
3. Mitigation Strategies: Practical methods for threat reduction
4. Systematic Methodology: Structured approach to cybersecurity risk management

Research Impact

This work advances the field of cybersecurity risk management and provides organizations with practical tools for improving their security posture.