1. Introduction 1.1 Background of Cybersecurity Threats 1.2 Importance of Cyber Attack Forecasting 1.3 Aim and Objectives of the Study 1.4 Structure of the Dissertation 2. Literature Review 2.1 Overview of Cyber Attacks 2.2 Existing Forecasting Models 2.3 Tools and Techniques in SOC 2.4 Challenges in Predictive Analysis 2.5 Research Gap Identification 3. Methodology 3.1 Research Design 3.2 Data Collection Methods 3.3 Statistical and Analytical Tools 3.4 Model Development Process 3.5 Validation and Testing Procedures 4. Data Analysis 4.1 Data Preprocessing Techniques 4.2 Descriptive Statistics 4.3 Time Series Analysis 4.4 Model Selection Criteria 4.5 Evaluation Metrics 5. Model Implementation 5.1 Developing Forecasting Algorithms 5.2 Integration with SOC Systems 5.3 Simulation of High-risk Windows 5.4 Case Studies and Applications 5.5 Limitations of the Model 6. Results and Discussion 6.1 Forecast Accuracy and Performance 6.2 Comparison with Existing Models 6.3 Interpretation of High-risk Windows 6.4 Implications for SOC Operations 6.5 Recommendations for Improvement 7. Conclusion 7.1 Summary of Findings 7.2 Contribution to Cybersecurity Field 7.3 Future Research Directions 7.4 Limitations of the Study 7.5 Final Thoughts 8. References
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