Abstract: Embodiments of the present disclosure relate to a method, an apparatus and a computer program for providing a machine-learning system to be used for classifying transactions as either fraudulent or genuine, and a method, an apparatus and a computer program for classifying transactions as either fraudulent or genuine. The method for generating a machine-learning system for classifying transactions as either fraudulent or genuine based on a plurality of training transactions, each training transaction being associated with labelling information that indicates whether the training transaction is either genuine or fraudulent, comprises clustering the plurality of training transactions into a plurality of clusters based on a similarity measure. The method comprises determining, for each of the plurality of clusters, whether the cluster is homogeneous or heterogeneous. A heterogeneous cluster includes both fraudulent and genuine training transactions.

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 defending a predetermined area from an autonomously moving Unmanned Aerial Vehicle (UAV) is provided. The method includes generating one or more adversarial example adapted to disrupt a machine-learning based vision system of the UAV. Additionally, the method includes determining, based on geographical information about at least one of the predetermined area and a surrounding area of the predetermined area, a respective position for the one or more adversarial example in at least one of the predetermined area and the surrounding area of the predetermined area.

Abstract: Examples relate to a system, to a method and to a computer program for forecasting a trend of a numerical value over a time interval. The system comprises processing circuitry configured to determine an estimate of the numerical value for the time interval by training a first machine-learning model based on historical data on the numerical value. The processing circuitry is configured to divide the time interval into a first and a second sub-interval. The processing circuitry is configured to determine an estimate of the numerical value for the first sub-interval by training a second machine-learning model based on the historical data on the numerical value. The processing circuitry is configured to determine an estimate of the numerical value for the second sub-interval based on the estimate of the numerical value for the time interval and based on the estimate of the numerical value for the first sub-interval.

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: 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: Embodiments of the present disclosure relate to a method, an apparatus and a computer program for providing a machine-learning system to be used for classifying transactions as either fraudulent or genuine, and a method, an apparatus and a computer program for classifying transactions as either fraudulent or genuine. The method for generating a machine-learning system for classifying transactions as either fraudulent or genuine based on a plurality of training transactions, each training transaction being associated with labelling information that indicates whether the training transaction is either genuine or fraudulent, comprises clustering the plurality of training transactions into a plurality of clusters based on a similarity measure. The method comprises determining, for each of the plurality of clusters, whether the cluster is homogeneous or heterogeneous. A heterogeneous cluster includes both fraudulent and genuine training transactions.

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 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 distribution system including, for connection over a network a plurality of client upload devices, each client upload device storing one or more chunks of a content file, a client download device configured to download from the client upload devices chunks of the content file stored by the respective client upload devices and an incentive device configured to generate token data packets exchangeable for chunks of the content file. The client download device is configured to acquire a plurality of token data packets from the incentive device and to communicate with individual respective client upload devices and thereby download, in exchange for respective token data packets, stored chunks of the content file.

Abstract: An apparatus 100 and method is provided for generating an EPG. The apparatus 100 is configured to output data to generate an EPG in which upcoming programs are shown as tiles with a uniform size, regardless of the duration of the program or how much of the program has elapsed. The EPG also has a highlighted portion that is associated with a particular channel at any given time. When a command is received to move forwards or backwards through the EPG, data is output to move the highlighted portion of the EPG in the corresponding direction. The tiles representing programs in the EPG are also shifted so as to be based on the start time of the next or previous (depending on the user input) program on the channel associated with the highlighted portion.

Abstract: A distribution system including, for connection over a network a plurality of client upload devices, each client upload device storing one or more chunks of a content file, a client download device configured to download from the client upload devices chunks of the content file stored by the respective client upload devices and an incentive device configured to generate token data packets exchangeable for chunks of the content file. The client download device is configured to acquire a plurality of token data packets from the incentive device and to communicate with individual respective client upload devices and thereby download, in exchange for respective token data packets, stored chunks of the content file.

Abstract: A digital television receiver for use in a digital television broadcast system in which a plurality of digital television data streams can be provided in respective streams of television broadcast packets forming the lowest layer of a layered digital television structure and also in respective streams of Internet protocol packets forming the lowest layer of a layered Internet protocol structure, the streams of television broadcast packets being broadcast with a plurality of tables indicating where data of one layer of one structure can be found in another layer of one or other of the two structures, the received plurality of tables being used to determine where data contained in one layer can be found in an adjacent layer so as to construct tree structures or a new table allowing determination of in which stream of television broadcast packets the television data of a selected stream of Internet protocol packets is found.

Abstract: A demodulator device and a method of operating the demodulator device where the demodulator device runs a loaded operating system and operates a communication protocol enabling a host application to control the demodulator device. The demodulator device is configured to respond to receipt of an abort command of the communication protocol by carrying out an abort process which stops current operations and reinitializes the loaded operating system.

Abstract: An apparatus 100 and method is provided for generating an EPG. The apparatus 100 is configured to output data to generate an EPG in which upcoming programs are shown as tiles with a uniform size, regardless of the duration of the program or how much of the program has elapsed. The EPG also has a highlighted portion that is associated with a particular channel at any given time. When a command is received to move forwards or backwards through the EPG, data is output to move the highlighted portion of the EPG in the corresponding direction. The tiles representing programs in the EPG are also shifted so as to be based on the start time of the next or previous (depending on the user input) program on the channel associated with the highlighted portion.

Abstract: A digital television receiver for use in a digital television broadcast system in which a plurality of digital television data streams can be provided in respective streams of television broadcast packets forming the lowest layer of a layered digital television structure and also in respective streams of Internet protocol packets forming the lowest layer of a layered Internet protocol structure, the streams of television broadcast packets being broadcast with a plurality of tables indicating where data of one layer of one structure can be found in another layer of one or other of the two structures, the received plurality of tables being used to determine where data contained in one layer can be found in an adjacent layer so as to construct tree structures or a new table allowing determination of in which stream of television broadcast packets the television data of a selected stream of Internet protocol packets is found.

Abstract: A digital television receiver for use in a digital television broadcast system in which a plurality of digital television data streams can be provided in respective streams of television broadcast packets forming the lowest layer of a layered digital television structure and also in respective streams of Internet protocol packets forming the lowest layer of a layered Internet protocol structure, at least the streams of television broadcast packets being broadcast with a plurality of tables indicating where data of one layer of one structure can be found in another layer of one or other of the two structures, the received plurality of tables being used to determine where data contained in one layer can be found in an adjacent layer so as to construct tree structures or a new table allowing determination of in which stream of television broadcast packets the television data of a selected stream of Internet protocol packets is found.

Abstract: A distribution system including, for connection over a network a plurality of client upload devices, each client upload device storing one or more chunks of a content file, a client download device configured to download from the client upload devices chunks of the content file stored by the respective client upload devices and an incentive device configured to generate token data packets exchangeable for chunks of the content file. The client download device is configured to acquire a plurality of token data packets from the incentive device and to communicate with individual respective client upload devices and thereby download, in exchange for respective token data packets, stored chunks of the content file.

Abstract: A distribution system including, for connection over a network a plurality of client upload devices, each client upload device storing one or more chunks of a content file, a client download device configured to download from the client upload devices chunks of the content file stored by the respective client upload devices and an incentive device configured to generate token data packets exchangeable for chunks of the content file. The client download device is configured to acquire a plurality of token data packets from the incentive device and to communicate with individual respective client upload devices and thereby download, in exchange for respective token data packets, stored chunks of the content file.