Nexenio Gmbh

Aron Kunze

Manfred Paeschke

Maxim Schnjakin

Philipp Berger

Patrick Hennig

Christoph Meinel

Willi Gierke

Marvin Mirtschin

Ajay Kesar

Stephan Schultz

The invention relates to a method for behaviour-based authentication () of a current user () to a mobile, portable communication system (), which has at least one sensor () for capturing gross-motor measurement data (), a gross-motor classification module (), a processor (), and an internal memory (). Furthermore, a user is registered in the mobile, portable communication system (). The sensor () is designed to recognise the gross-motor measurement data () of a gross-motor movement of the current user () of the mobile, portable communication system () and the gross-motor classification module () is trained to capture a generic gross-motor movement pattern with the help of training data sets of a user cohort. In addition, the gross-motor classification module () implements a machine-learning method. The gross-motor classification module () is executed by the processor () of the mobile, portable communication system ().

Method and system for behavior-based authentication of a user

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Berlin, Germany

Aron Kunze