Jan Schröder

I am a researcher working in the field of Computer Security, focusing on IoT security, machine learning security, networks, and operating systems.

Currently, I work at Technische Universität Berlin and Fraunhofer FOKUS. Previously, I worked at HTW Berlin on the ISuMiS Project developing backend systems in Rust.

My PhD thesis evaluates ML-based IDS for detecting IoT botnets, including data-driven evaluation models and cross-dataset federated learning applications.

I am also passionate about privacy, open-source software, Linux, and open education.

• Machine Learning Security
• Internet of Things Security
• Malware Analysis and Exploits

• PhD in Computer Science — Freie Universität Berlin (2023–Today)
• MSc in Computer Science — Humboldt-Universität zu Berlin (2020–2022)
• BSc in Computer Science — TH Köln (2017–2020)
• BSc in Media Informatics (changed) — TH Köln (2015–2017)

RMF: A Risk Measurement Framework for Machine Learning Models (2024)

Machine Learning in Botnet Intrusion Detection for IoT Botnets: A Literature Review in Context of the Evaluation (2026)

Analysis on Captured Traffic of Internet of Things Botnets using T-Pot (Pre-Print)

• Research Assistant, TU Berlin | Fraunhofer FOKUS (2025–2028)
• Research Assistant - Head of Software Development for IT-Security, HTW Berlin | Fraunhofer FOKUS (2022–2025)
• Data Protection & IT-Security Specialist, Ströer Social Publishing (2022)
• Part Time - Software Developer, Deutsche Rentenversicherung Bund (2021–2022)
• Student Employee - Software Engineer, Ströer Social Publishing (2020–2021)
• Student Employee - Software Developer, Twago - a Randstad Company (2018–2020)
• Student Assistant - "ArchiLab" Project, TH Köln (2017–2018)

• Python, Rust, Linux, Java, C, MySQL
• Machine Learning, Internet of Things, Backend Development
• LaTeX, Git