Abstract: The invention relates to a method for behaviour-based authentication (400) of a current user (1) to a mobile, portable communication system (100), which has at least one sensor (110) for capturing gross-motor measurement data (500), a gross-motor classification module (200), a processor (130), and an internal memory (120). Furthermore, a user is registered in the mobile, portable communication system (100). The sensor (110) is designed to recognise the gross-motor measurement data (500) of a gross-motor movement of the current user (1) of the mobile, portable communication system (100) and the gross-motor classification module (200) 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 (200) implements a machine-learning method. The gross-motor classification module (200) is executed by the processor (130) of the mobile, portable communication system (100).

Abstract: The invention relates to a method for cryptographically secure storing a file (101) using a web application executed by a web browser (106) on a user computer system (104, 162, 168) of a user (102, 160). The method comprises: encrypting the file (101) on the user computer system (104, 162, 168) by the web application, providing a distribution plan by the web application, fragmenting the encrypted file (101) on the user computer system (104, 162, 168) by the web application into a plurality of file fragments (F1-F4) according to the distribution plan, sending the resulting file fragments (F1-F4) by the web application over the network (178) to the storage services identified by the distribution plan (SD1-SD6).

Abstract: The invention relates to a method for cryptographically secure storing a file (101) using a web application executed by a web browser (106) on a user computer system (104, 162, 168) of a user (102, 160). The method comprises: encrypting the file (101) on the user computer system (104, 162, 168) by the web application, providing a distribution plan by the web application, fragmenting the encrypted file (101) on the user computer system (104, 162, 168) by the web application into a plurality of file fragments (F1-F4) according to the distribution plan, sending the resulting file fragments (F1-F4) by the web application over the network (178) to the storage services identified by the distribution plan (SD1-SD6).

Abstract: The method for the behavior-based authentication of the current user to a mobile, portable communication system includes repeated performance of capturing the gross-motor measurement data, inputting the gross-motor measurement data into the gross-motor classification module, generating a first classification result, and storing the first classification result. The method further includes accessing of the memory of the system in order to read out at least one of the stored first classification results from the memory, reading out of the at least one first classification result and evaluating same in accordance with a specified checking criterion, and generating an authentication signal if the checking criterion is met.

Abstract: The method for the behavior-based authentication of the current user to a mobile, portable communication system includes repeated performance of capturing the gross-motor measurement data, inputting the gross-motor measurement data into the gross-motor classification module, generating a first classification result, and storing the first classification result. The method further includes accessing of the memory of the system in order to read out at least one of the stored first classification results from the memory, reading out of the at least one first classification result and evaluating same in accordance with a specified checking criterion, and generating an authentication signal if the checking criterion is met.

Abstract: A method for behaviour-based authentication of a current user to a mobile, portable communication system, is implemented using 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.