  The design of robust wireless communication systems for industrial
applications such as closed loop control processes has been considered manifold
recently. Additionally, the ongoing advances in the area of connected mobility
have similar or even higher requirements regarding system reliability and
availability. Beside unfulfilled reliability requirements, the availability of
a system can further be reduced, if it is under attack in the sense of
violation of information security goals such as data authenticity or integrity.
In order to guarantee the safe operation of an application, a system has at
least to be able to detect these attacks. Though there are numerous techniques
in the sense of conventional cryptography in order to achieve that goal, these
are not always suited for the requirements of the applications mentioned due to
resource inefficiency. In the present work, we show how the goal of message
authenticity based on physical layer security (PHYSEC) can be achieved. The
main idea for such techniques is to exploit user specific characteristics of
the wireless channel, especially in spatial domain. Additionally, we show the
performance of our machine learning based approach and compare it with other
existing approaches.
