Vocalink Limited

Ncr Corporation

David Divitt

Syed Asim Ali Shah

Prina Rajendra Kumar Patel

Szymon Nikodem Prajs

James Hogan

The present disclosure concerns a computer-implemented method for reconstructing a dataset after detection of a network security threat in a network. The method comprises: determining a maximum flow for returning data associated with the network security threat to a source dataset via each of a plurality of paths through which the data has passed from the source dataset to the destination dataset; starting from the destination dataset, determining the data to be transferred to each dataset in the plurality of paths between the destination dataset and the one or more source datasets such that the data can be returned to the one or more source datasets, the data transferred in each path not exceeding the determined maximum flow for the path; adding the details of the determined amount of data to be transferred to a forensic report; and outputting the forensic report.

Reconstructing a dataset after detection of a network security threat in a network

An apparatus for storing a set of events, is provided, the apparatus comprising one or more circuitry configured to: receive an electronic message comprising information of a first event between a first party and a second party, the first event being initiated by the first party; determine whether a record of the first event exists in a first storage unit; wherein when it is determined that the record of the first event does not exist, the one or more circuitry is configured to: determine whether any subsequent events between the second party and a third party are initiated by the second party within a predetermined time of the first event; and store an association between the second party and a first set of events, the first set of events comprising the first event and the subsequent event, in a second storage unit, when the subsequent event is initiated within the predetermined time.

Apparatus, computer program and method of tracing events in a communications network

Transaction information for a card transaction is automatically and selectively rendered to a screen of a display presented to a user. The user can edit zero or more operators and selected values provided in the screen and save any such edits. When saved, the transaction information and any edited operators and/or selected values are used to generate a rule for a fraud detection system for immediate application. Subsequent card transactions are evaluated in view of the generated rule to automatically detect any fraudulent transactions present in the card transactions.

Growing community of inventors

London, United Kingdom

David Divitt