Research at KASTEL SRL

Research at KASTEL Security Research Labs is distinguished by its broad scope. Privacy and reliability aspects are naturally part of IT security; basic and applied research complement each other, and a comprehensive approach to IT security needs to look not just at the technical system, but also at its social environment as well as its human aspects.

  • Fact 1

    666 Publications from 2021 to 2025

  • Fact 2

    148 Papers at 42 Top Conferences 2021 to 2025

  • Fact 3

    65 Awards from 2021 to 2025

Our research covers a broad spectrum of cybersecurity. It combines the view of different disciplines in order to adress not only technical aspects, but also human factors and the legal framework.

KASTEL Security Research Labs conduct interdisciplinary and application-oriented research. Therefore, we permanently maintain and expand numerous partnerships with industrial enterprises and research institutions. The resulting synergy effects flow into our research.

  • Fact 1

    156 Academic Cooperations in 25 Countries

  • Fact 2

    24 Ongoing Thirt-Party Funded Projects

  • Fact 3

    92 Cooperations with Companies

Publications

Mar 28, 2026
Artificial Intelligence Software Engineering

Criminal Minds: How First-Year CS Students Plagiarize Code

Maisch, R.; Schmid, L.; Glassey, R.; Fuchß, D.; Niehues, N.; Liu, H.; Koziolek, A.
2026. 34th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering (FSE Companion ’26), July 5–9, 2026, Montreal, QC, Canada, Association for Computing Machinery (ACM).

Publication
Mar 27, 2026
Artificial Intelligence Software Engineering

Leveraging Large Language Models for supporting Cyber Threat Analysis

Rybinski, Fabian; Schiefer, Gunther; Frister, Demian; Malekzadeh Mahani, Marzieh
1th 2025 International Conference on Recent Advances in Information Systems (2025), Pointe aux Piments, Mauritius, 10.09.2025 – 12.09.2025

Publication
Mar 19, 2026
Artificial Intelligence Privacy

Collaborative distributed machine learning: a path to strengthen data privacy

Rank, S.; Jin, D.; Kannengießer, N.; Sunyaev, A.
2026. Research Handbook on Digital Data: Interdisciplinary Perspectives. Ed.: A. Aaltonen , M. Stelmaszak, K. Lyytinen, 343–357, Edward Elgar Publishing.

Publication
Mar 04, 2026
Production Security

Show Me What You Got: Vulnerabilities of Industrial Components Revealed by Automated Blackbox Testing:

Borcherding, A.; Giraud, M.; Tzigiannis, L.
2026. Proceedings of the 12th International Conference on Information Systems Security and Privacy, 240–251, SciTePress.

Publication
Feb 27, 2026
Societal Security

“I found the text to be encouraging” – Evaluating Different Password Strength Calculator Designs

Doneva, R.; Hennig, A.; Mayer, P.
2026. Symposium on Usable Security and Privacy (USEC) 2026, 27 February 2026, San Diego, CA, USA. Ed.: K. Seamons.

Publication
Feb 27, 2026
Privacy Societal Security

From Matrix to Metrics: Introducing and Applying a Configuration Matrix to Evaluate DMARC Policies

Länge, T.; Ballreich, F. L.; Hennig, A.; Mayer, P.; Volkamer, M.
2026. Workshop on Measurements, Attacks, and Defenses for the Web (MADWeb) 2026 : Co-located with NDSS Symposium 2026, San Diego, CA, 23rd February – 27th February 2026.

Publication