Investigating Machine Learning Techniques for Predicting Cybersecurity Threats in Cloud Computing Environments

1. Introduction 1.1 Background and Motivation 1.2 Objectives of the Study 1.3 Structure of the Paper 2. Overview of Cybersecurity in Cloud Computing 2.1 Understanding Cloud Computing 2.2 Cybersecurity Challenges in the Cloud 2.3 Importance of Threat Prediction 3. Machine Learning in Cybersecurity 3.1 Basic Concepts of Machine Learning 3.2 Machine Learning for Threat Detection 3.3 Advantages of Machine Learning Techniques 4. Survey of Existing Techniques 4.1 Supervised Learning Methods 4.2 Unsupervised Learning Approaches 4.3 Hybrid Models 5. Proposed Methodology 5.1 Selection of Data Sets 5.2 Algorithm Selection and Justification 5.3 Evaluation Metrics 6. Implementation and Results 6.1 Data Preprocessing 6.2 Model Training and Validation 6.3 Analysis of Results 7. Discussion 7.1 Comparison with Existing Techniques 7.2 Limitations and Challenges 7.3 Future Research Directions 8. Conclusion 8.1 Summary of Findings 8.2 Implications for Practice 8.3 Final Thoughts and Recommendations