Method and system for behavior-based authentication of a user

A mobile, portable communication system for behavior-based authentication of a current user to the mobile, portable communication system, the mobile, portable communication system comprising at least one sensor for capturing gross-motor measurement data, a gross-motor classification module, a processor and an internal memory,

• wherein a registered user is registered in the mobile, portable communication system,
• wherein the at least one sensor is designed to capture the gross-motor measurement data of a gross-motor movement of the current user of the mobile portable communication system,
• wherein the gross-motor classification module is trained to recognize a generic gross-motor movement pattern for an identical movement type based on training data sets of all users of a user cohort and a machine-learning method, wherein the gross-motor classification module is executed by the processor of the mobile, portable communication system,
• wherein the mobile, portable communication system for behavior-based authentication of the current user to the mobile, portable communication system performs the following method steps:
• a) repeated execution of the following steps with use of the machine-learning method:
• i. capture of the gross-motor measurement data by the at least one sensor of the mobile, portable communication system, wherein the gross-motor measurement data are movement data of the gross-motor movement of the current user,
• ii. input of the gross-motor measurement data into the gross-motor classification module,
• iii. generation of a first classification result by the gross-motor classification module based on evaluating the gross-motor measurement data with the generic gross-motor movement pattern for identifying a user-individual movement pattern of the current user, the first classification result detailing whether the current user is the registered user,
• iv. storage of the first classification result in the internal memory of the mobile, portable communication system, and
• v. training of the gross-motor classification module with the gross-motor measurement data of the current user in order to train the gross-motor classification module for a user-specific gross-motor movement pattern on the condition that, in accordance with the first classification result, the current user is the registered,
• b) in response to an authentication request, access to the internal memory of the mobile, portable communication system in order to read out at least one of the stored first classification results from the internal memory,
• c) evaluation of the at least one read out first classification result in accordance with a specified checking criterion,
• d) generation of an authentication signal in response to the checking criterion being met, wherein the authentication signal signals a successful authentication of the current user.