Enhanced Techniques for Malware Classification Using Anomaly Detection in Software Systems

1. Introduction 1.1. Background and Motivation 1.2. Research Objectives 1.3. Structure of the Thesis 2. Literature Review 2.1. Overview of Malware Classification 2.2. Anomaly Detection in Software Systems 2.3. Current Techniques and Gaps 3. Theoretical Framework 3.1. Fundamentals of Anomaly Detection 3.2. Malware Classification Techniques 3.3. Integration of Techniques 4. Methodology 4.1. Research Design 4.2. Data Collection Methods 4.3. Analytical Tools and Techniques 5. Proposed Techniques 5.1. Algorithm Development 5.2. System Architecture 5.3. Metrics for Evaluation 6. Implementation and Results 6.1. Experiment Setup 6.2. Data Analysis and Findings 6.3. Comparative Evaluation 7. Discussion 7.1. Interpretation of Results 7.2. Implications for Practice 7.3. Limitations and Challenges 8. Conclusion 8.1. Summary of Findings 8.2. Contributions to the Field 8.3. Future Research Directions