Welcome to KASTEL Security Research Labs
The Competence Center for Applied Security Technology (KASTEL) is a competence center for cyber security initiated by the German Federal Ministry of Education and Research (BMBF).
Under the motto "Traceable Security in the Networked World", KASTEL addresses the challenges posed by the increasing interconnectedness previously isolated systems. Of particular importance are the consequences of digitalization in the area of critical infrastructures most notably for energy systems, future mobility and industrial production (Industrie 4.0)
KASTEL bundles competencies around IT security at the research location Karlsruhe. Our goal is to develop a comprehensive approach instead of isolated partial solutions focusing on comprehensive security solutions for specific application areas, such as power grids, smart mobility or smart factories.
To ensure state-of-the-art security, new threats must be modeled, security goals described and new methods developed. At KASTEL, we achieve our goals through collaboration between cryptographers, IT security specialists, software engineers, network experts, lawyers, and economists.
Started in 2011, KASTEL was successfully evaluated by the BMBF in 2014. Since 2020, KASTEL is funded by the Helmholtz Association.
To get to the KASTEL Institute for Information Security and Reliability at KIT, a part of the KASTEL Security Research Labs, click here.
Researchers from the CISPA Helmholtz Centre for Information Security and the KASTEL Institute at the Karlsruhe Institute of Technology (KIT) handed over the results of their feasibility study on the topic of "Encrypted Computing" to the Agentur für Innovation in der Cybersicherheit (Cyberagentur) on Monday (21.11.2022).
In December 2021, the Cyberagentur had awarded its first tendered project on the topic of "Encrypted Computing" to the CISPA Helmholtz Centre for Information Security and to the Karlsruhe Institute of Technology (KIT), as subcontractors. A feasibility study was to identify potential "encrypted computing" applications that could be used in the future in the area of internal and external security. The main objective was to determine the security properties and to compare the performance of these procedures depending on their application scenarios.
The paper "Machine Unlearning of Features and Labels" by KASTEL PI TT.-Prof. Dr.-Ing. Christian Wressnegger (KASTEL -- IntelliSec) and colleagues at TU Braunschweig was accepted at the 30th "Network and Distributed System Security Symposium" (NDSS). The developed method allows to remove sensitive data, e.g. credit card numbers or passwords, from a ML model without having to retrain it completely.More information
The paper "Disguising Attacks with Explanation-Aware Backdoors" by KASTEL researchers Maximilian Noppel, Lukas Peter and TT.-Prof. Dr.-Ing. Christian Wressnegger (KASTEL -- IntelliSec) was accepted at the 44th "IEEE Symposium on Security and Privacy". The conference, also known simply as "Oakland", is the most prestigious academic event in the field of computer security and privacy.More information
The paper "Dos and Don'ts of Machine Learning in Computer Security" by Daniel Arp, Technische Universität Berlin; Erwin Quiring, Technische Universität Braunschweig; Feargus Pendlebury, King's College London and Royal Holloway, University of London and The Alan Turing Institute; Alexander Warnecke, Technische Universität Braunschweig; Fabio Pierazzi, King's College London; Christian Wressnegger, KASTEL Security Research Labs and Karlsruhe Institute of Technology; Lorenzo Cavallaro, University College London; Konrad Rieck, Technische Universität Braunschweig was awarded the Distinguished Paper Award.More information
Prof. Dr.-Ing. Ina Schaefer (KASTEL - TVA), together with her co-authors from the University of Turin, Italy, received the "Most Influential Paper Award" at the Software Product Line Conference 2022 in Graz for a paper from software product line development that was published at least 10 years ago received: Ina Schaefer, Lorenzo Bettini, Viviana Bono, Ferruccio Damiani, Nico Tanzarella: "Delta-Oriented Programming of Software Product Lines" in: Bosch, J., Lee, J. (eds.) Software Product Lines: Going Beyond SPLC 2010. Lecture Notes in Computer Science, vol 6287. Berlin, Heidelberg.More information