In this blog post we present a Bayesian statistical model to detect cryptographic timing attacks. This model is one of the results of a customer hardware assessment performed by the SCHUTZWERK GmbH. The assessment was performed in a gray box context, i.e., we were able to interact with the encryption hardware, but were not given any internal implementation details.
The escar is the world’s leading automotive cyber security conference. SCHUTZWERK participated at this year’s escar Europe with two talks. The first talk of Dr. Bastian Könings discussed the current challenges in automotive penetration testing. The second talk of Fabian Weber presented the PROBoter, a hardware platform to support penetration tests of embedded systems by automating time-consuming analysis tasks.
