Connected vehicles and medical devices are increasingly the target of cyber attacks.
How can security vulnerabilities be detected at an early stage and secured in a targeted manner?
In the S³HIFT research project, we are developing new approaches based on fuzz testing, side-channel analysis and machine learning to improve the information security of embedded systems.
In the webinar, we will show how these methods can be applied across industries and what challenges and opportunities arise, especially in the transfer from the automotive to the medtech industry.
(In cooperation with the OTH Regensburg)
Currently, there is no information available regarding trainers
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