Abstract: In an authentication method, a wireless communication is established between a mobile device and a wearable device. A proximity is detected between the mobile device and the wearable device by comparing mobile device position information and wearable device position information. Access to the mobile device is granted based on a detected proximity.

Abstract: A device for authenticating a user is described that comprises a sensor configured to measure the movement of a user in response to the interaction of the user with a displayed image and controller circuitry configured to authenticate the user in response to a positive comparison between the movement of the user and a stored movement associated with the user.

Abstract: A device for authenticating a user is described. This device comprises transceiver circuitry configured to receive motion information from a plurality of wearable devices located on a user's body indicative of the motion of the user's body at the location of the respective wearable device at a particular time; and 5 controller circuitry configured to: compare the received motion information and the location of the respective wearable device and authenticate the user in the event of a positive comparison between the received motion information and the location of the respective wearable device with stored motion information and the location of the respective wearable device.

Abstract: An apparatus has circuitry which determines a location of a user, based on sound data representing speech of the user, and identifies the user based on the determined location of the user and user identification information and location information received from a mobile device.

Abstract: Examples relate to a method, a computer program and a system for enabling a verification of a result of a computation obtained from a third party. The method comprises providing a model on a distributed ledger, the model representing the computation used by the third party. The method comprises providing access to the model for one or more users, to enable the users to verify the result of the computation.

Abstract: A method for providing information about an object is proposed. The method contains determining a usage profile of the object based on a measurement performed by at least one sensor of the object and storing the usage profile. The usage profile can be compared with a standard profile of the object. Based on a result of the comparison information about a usage of the object can be provided. A corresponding object providing information is proposed.

Abstract: The disclosure relates to a method (100) for assessing user authorization, the method comprising: receiving (110), via a data communication network (330), a request from a user device (300) for an access; generating (120), based on data associated with the request, a risk score indicating a risk that the request was sent by a non-authorized user, wherein the risk score indicates a high risk, a medium risk, or a low risk that the user (400) is a non-authorized user; and signaling (130), via the data communication network (330), the user device (300) a need for further information to enable a decision about the authorization of the user (400), if the risk score indicates medium risk. A further aspect relates to a method (200) for user authorization and to an electronic device (300).

Abstract: A system comprising a distributed ledger (BC) configured to store a smart contract (SB) related to a problem statement (Z), the smart contract (SB) enabling a zero-knowledge proof (ZK) concerning the problem statement (Z).

Abstract: The present disclosure relates to a concept of fraud handling. A data transaction request is received via a data network from at least one user account. The data transaction request is analyzed based on predefined fraud detection rules to generate a fraud score associated with the at least one user account. The at least one user account is classified as fraudulent account if the associated fraud score exceeds a predefined fraud likelihood threshold. Data transactions associated with a classified fraudulent account via the data network are pseudo-randomly permitted or blocked.

Abstract: A method for processing a user request is provided. The method includes receiving the user request. Further, the method includes selecting one of a plurality of different machine-learning models. Each of the plurality of machine-learning models is trained for performing the same processing task. The method additionally includes processing the user request using the selected one of the plurality of machine-learning models.

Abstract: The present disclosure relates to a concept of fraud handling. A data transaction request is received via a data network from at least one user account. The data transaction request is analyzed based on predefined fraud detection rules to generate a fraud score associated with the at least one user account. The at least one user account is classified as fraudulent account if the associated fraud score exceeds a predefined fraud likelihood threshold. Data transactions associated with a classified fraudulent account via the data network are done by purposely deteriorating the data transactions associated with the classified fraudulent account in comparison to data transactions associated with a classified non-fraudulent account.

Abstract: The present disclosure relates to an electronic device which comprises a circuitry configured to authenticate a second electronic device when the circuitry detects based on a privacy preserving algorithm that the two electronic devices are associated with the same body. Furthermore, the present disclosure relates to a method comprising authenticating data communication between a first electronic device and a second electronic device when detecting based on a privacy preserving algorithm that the two electronic devices are associated with the same body.

Abstract: A method for providing information about an object is proposed. The method contains determining a usage profile of the object based on a measurement performed by at least one sensor of the object and storing the usage profile. The usage profile can be compared with a standard profile of the object. Based on a result of the comparison information about a usage of the object can be provided. A corresponding object providing information is proposed.

Abstract: The disclosure relates to a method (100) for assessing user authorization, the method comprising: receiving (110), via a data communication network (330), a request from a user device (300) for an access; generating (120), based on data associated with the request, a risk score indicating a risk that the request was sent by a non-authorized user, wherein the risk score indicates a high risk, a medium risk, or a low risk that the user (400) is a non-authorized user; and signaling (130), via the data communication network (330), the user device (300) a need for further information to enable a decision about the authorization of the user (400), if the risk score indicates medium risk. A further aspect relates to a method (200) for user authorization and to an electronic device (300).

Abstract: A method comprising partitioning a space of user requests into subsets, and determining a risk score for a user request based on the evolution of the number of user requests in the subset of user requests to which this user request belongs.

Abstract: An apparatus has circuitry which determines a location of a user, based on sound data representing speech of the user, and identifies the user based on the determined location of the user and user identification information and location information received from a mobile device.

Abstract: A device for authenticating a user is described. This device comprises transceiver circuitry configured to receive motion information from a plurality of wearable devices located on a user's body indicative of the motion of the user's body at the location of the respective wearable device at a particular time; and 5 controller circuitry configured to: compare the received motion information and the location of the respective wearable device and authenticate the user in the event of a positive comparison between the received motion information and the location of the respective wearable device with stored motion information and the location of the respective wearable device.

Abstract: The present disclosure relates to a concept of fraud handling. A data transaction request is received via a data network from at least one user account. The data transaction request is analyzed based on predefined fraud detection rules to generate a fraud score associated with the at least one user account. The at least one user account is classified as fraudulent account if the associated fraud score exceeds a predefined fraud likelihood threshold. Data transactions associated with a classified fraudulent account via the data network are pseudo-randomly permitted or blocked.

Abstract: The present disclosure relates to a concept of fraud handling. A data transaction request is received via a data network from at least one user account. The data transaction request is analyzed based on predefined fraud detection rules to generate a fraud score associated with the at least one user account. The at least one user account is classified as fraudulent account if the associated fraud score exceeds a predefined fraud likelihood threshold. Data transactions associated with a classified fraudulent account via the data network are done by purposely deteriorating the data transactions associated with the classified fraudulent account in comparison to data transactions associated with a classified non-fraudulent account.

Abstract: A device for authenticating a user is described that comprises a sensor configured to measure the movement of a user in response to the interaction of the user with a displayed image and controller circuitry configured to authenticate the user in response to a positive comparison between the movement of the user and a stored movement associated with the user.