As one of the leading international research institutions, KASTEL Security Research Labs contributes to the interdisciplinary research of holistic solutions for the security and data protection of complex networked systems. We span the arc from basic research to application research, including timely transfer to business, society, and politics. We explore the quantification of security and privacy. In doing so, we are guided by the unity of research, teaching, and innovation.

Latest News

Oct 23, 2024

Article in the Current Issue of the “Industrieanzeiger”

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Oct 18, 2024

KASTEL konkret: Distributed Usage Control in Interactive Assembly Assistance Systems

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Sep 25, 2024

Striking the balance in communication privacy and lawful interception

A new security protocol walks the fine line between legitimate interception of communication and protection of privacy rights.

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Studies

3 University Courses

Advanced Education

3 Chances for Further Training

It is our ambition not only to conduct research, but also to transfer our knowledge. That is why KASTEL Security Research Labs (SRL) offers diverse programs to deepen the knowledge in the field of IT security for professionals and students.

Knowledge Transfer

Publications: Insights into our Research

The research results at KASTEL Security Research Labs are highlighted by numerous outstanding publications. Get insights into our research work.

Oct 14, 2024
Communication Security Privacy

Resilience-by-Design in 6G Networks: Literature Review and Novel Enabling Concepts

Khaloopour, L.; Su, Y.; Raskob, F.; Meuser, T.; Bless, R.; Janzen, L.; Abedi, K.; Andjelkovic, M.; Chaari, H.; Chakraborty, P.; Kreutzer, M.; Hollick, M.; Strufe, T.; Franchi, N.; Jamali, V.
2023. IEEE Access, 11.

Publication
Oct 08, 2024
Communication Security Network Security

Evaluating Drill-Down DDoS Destination Detection

Krack, T.; Kopmann, S.; Zitterbart, M.
2024. 2024 IEEE 49th Conference on Local Computer Networks (LCN), Normandy, France, 08-10 October 2024, Institute of Electrical and Electronics Engineers (IEEE).

Publication
Sep 22, 2024
Software Engineering

A Collaborative Uncertainty Collection to Address the Awareness Problem of Model-Based Confidentiality Analysis

Hahner, S.; Niehues, N.; Boltz, N.; Fuksa, M.; Heinrich, R.
2024. ACM / IEEE 27th International Conference on Model Driven Engineering Languages and Systems Companion (MODELS-C)

Publication