Stefan Axelsson

Stefan Axelsson is a Professor at Stockholm University's Department of Computer and Systems Science, specializing in digital forensics and cybersecurity. His research examines the intersection of emerging technologies like IoT with crime investigation challenges, particularly focusing on forensic methodologies in increasingly digitalized societies.

Axelsson's research spans:

• Digital Forensics: Timestamp validation, filesystem analysis, and cloud/IoT evidence acquisition
• Cybersecurity: Fraud detection systems, log analysis, and attack kill chains
• Applied Machine Learning: Ensemble classifiers for financial fraud detection
• Policy Frameworks: National cybersecurity strategies and disinformation research

His recent publications demonstrate a consistent focus on improving forensic accuracy through technical validation (e.g., exFAT timestamp studies) and practical tools (e.g., USB power delivery exploitation). Over 80% of his 2021-2025 publications involve empirical analysis of digital evidence systems, with growing emphasis on machine learning applications.

No scientific awards, grants, research labs, or supervised students are mentioned in available sources.