SBA Research is the largest research center in Austria which exclusively addresses information security. Its mission is to significantly contribute to establishing trust in Networked Systems and Software by considering aspects of privacy and our society at large and by investigating novel approaches like discrete mathematics.
SBA Research is Austria’s leading research center dedicated to information security. Starting in 2006 with a national focus, we became an established contributor to security research, collaborating with renowned international institutions. SBA Research strengthens the resilience of information and IT infrastructures by transforming and incorporating innovative research results into applicable solutions for our partners, ranging from individuals to public and private organizations. SBA Research is part of the Austrian COMET excellence program (COMET – Competence Centers for Excellent Technologies). In addition, the center participates in a number of research programmes and networks, e.g., FP7 (7th Framework Programme for Research and Technological Development), COST (European Cooperation in Science and Technology), ECSEL Austria (Electronic Components and Systems for European Leadership), ERCIM (European Consortium for Informatics and Mathematics), EC3 (Europol's European Cybercrime Centre Academic Advisory Network), and RDA (Research Data Alliance) and has a long-standing research partnership with NIST (National Institute of Standards and Technology).
SBA has developed a deep expertise in combinatorial testing foundations and its application to software and systems security, with already proven results in kernel software, security protocols, web and cryptographic applications. SBA is represented by its Mathematics for Testing, Reliability and Information Security (MATRIS) research group in ArchitectECA2030. MATRIS role in this project is to develop mathematical foundations and related primitives from the field of discrete mathematics and apply them to real-world problems of automotive testing and also to facilitate the collaboration with US National Institute of Standards of Technology (NIST), one of its long-standing research partners.
- SBA will work on requirements and specifications for quantifying the residual risk calculation in terms of combinatorial methods.
- SBA will provide foundations regarding abstract scenario modelling methods and contribute also to the development of combinatorial test generation algorithms.
- SBA further plans to work on a sophisticated test generation method which makes use of extracted data collected from different components and sub-systems occurring in real-world driving scenarios.
- SBA will coordinate with NIST in terms of validating combinatorial coverage measurement results related to the calculation of the residual risk that remains after testing a highly automated vehicle in a simulated environment.
