Advanced Machine Learning Methods for Information Leakage Detection in Cryptographic Systems / Pritha Gupta ; 1. Reviewer Prof. Dr. Eyke Hüllermeier (Künstliche Intelligenz und Maschinelles Lernen Ludwig-Maximilians-Universität, München), 2. Reviewer Prof. Dr. Juraj Somorovsky (Department of Computer Science Paderborn University) ; Supervisor Prof. Dr. Eyke Hüllermeier. Paderborn, 2025
Inhalt
- Titlepage
- Introduction
- Fundamentals
- Information Theory
- Statistical Learning Theory: Classification Problem
- Classification Problem
- Learning and Evaluation Measures
- Classifier Calibration
- Automated Machine Learning
- Side-channel Attacks
- Statistical Tests
- Information Leakage Detection
- Mutual Information Estimation
- Automating ILD in OpenSSL TLS Servers
- Automating ILD in AES-encrypted Systems
- Summary and Future Directions
- Bibliography
- Appendix Appendix
- Implementation Details
- MI Estimation Approaches
- Automating ILD in OpenSSL TLS Servers
- Automating ILD in AES-encrypted Systems
- ILD Performance on Error Code Datasets
- ILD Generalizability on Timing Datasets
- Generalizability of MI Estimation Methods
- List of Figures
- List of Tables
- List of Algorithms
- List of Acronyms