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Supervised Learning for Physical Layer based Message Authentication in URLLC scenarios
Andreas Weinand, Raja Sattiraju, Michael Karrenbauer +1
PHYSEC based message authentication can, as an alternative to conventional security schemes, be applied within \gls{urllc} scenarios in order to meet the requirement of secure user…
Discussing the Feasibility of Acoustic Sensors for Side Channel-aided Industrial Intrusion Detection: An Essay
Simon D. Duque Anton, Anna Pia Lohfink, Hans Dieter Schotten
The fourth industrial revolution leads to an increased use of embedded computation and intercommunication in an industrial environment. While reducing cost and effort for set up, o…
Security in Process: Detecting Attacks in Industrial Process Data
Simon D. Duque Anton, Anna Pia Lohfink, Christoph Garth +1
Due to the fourth industrial revolution, industrial applications make use of the progress in communication and embedded devices. This allows industrial users to increase efficiency…
A Machine Learning Method for Prediction of Multipath Channels
Julian Ahrens, Lia Ahrens, Hans D. Schotten
In this paper, a machine learning method for predicting the evolution of a mobile communication channel based on a specific type of convolutional neural network is developed and ev…
AI-assisted PHY technologies for 6G and beyond wireless networks
Raja Sattiraju, Andreas Weinand, Hans D. Schotten
Machine Learning (ML) and Artificial Intelligence(AI) have become alternative approaches in wireless networksbeside conventional approaches such as model based solutionconcepts. Wh…
Anomaly-based Intrusion Detection in Industrial Data with SVM and Random Forests
Simon D. Duque Anton, Sapna Sinha, Hans Dieter Schotten
Attacks on industrial enterprises are increasing in number as well as in effect. Since the introduction of industrial control systems in the 1970's, industrial networks have been t…