Cryptanalysis Framework for Block Ciphers Identification Using AI and Quantum Computing Algorithms

1. Introduction 1.1 Background and Motivation 1.2 Objectives of the Study 1.3 Structure of the Thesis 2. Cryptanalysis and Block Ciphers Fundamentals 2.1 Overview of Cryptanalysis 2.2 Basics of Block Ciphers 2.3 Historical Development of Cryptanalysis 3. Framework Design Principles 3.1 Principles of Cryptanalysis Framework 3.2 Integration of AI in Cryptanalysis 3.3 Quantum Computing as a Tool 4. AI Algorithms in Cryptanalysis 4.1 Machine Learning Techniques 4.2 Deep Learning Approaches 4.3 Comparative Analysis of AI Models 5. Quantum Algorithms in Cryptanalysis 5.1 Quantum Computing Basics 5.2 Quantum Algorithms Overview 5.3 Specific Algorithms for Block Ciphers 6. Experimental Setup and Methodology 6.1 Design of Experiments 6.2 Data Collection and Preprocessing 6.3 Evaluation Metrics 7. Results and Discussion 7.1 AI in Cryptanalysis Performance 7.2 Quantum Computing Results 7.3 Comparative Analysis and Insights 8. Conclusion and Future Research 8.1 Summary of Findings 8.2 Limitations of the Study 8.3 Recommendations for Future Work