Koninklijke Philips Corporation N.v.

Daniel Pletea

Robert Paul Koster

Peter Petrus Van Liesdonk

Paul Koster

Some embodiments are directed to a categorization system for categorizing a sensitive data field in a dataset, e.g., a disease classification according to the ICD classification. A client device is to obtain categories for one or more records of the dataset. The client device determines categorization data for the categorization. The categorization data comprises homomorphic encryptions of possible values of the sensitive data field and encodings of the categories associated to the respective possible values, thus keeping the categorization secret. A data provider device stores the dataset and determines homomorphic encryption indicating differences between the value of the sensitive data field for a record and respective possible values. A categorization device determines which of those encryptions indicates a match and provides a category encoding associated with a matching possible value to the client device. The client device associates the encoded category to the record.

Categorizing a sensitive data field in a dataset

A method performed by a device for identifying a network node within a network to which data will be replicated is disclosed. The method comprises encrypting a session key according to an attribute-based encryption scheme; broadcasting the encrypted session key within the network; receiving at least one message encrypted using the session key from at least one network node within the network; and selecting a network node from the at least one network node to which data will be replicated. A further method, a device and a non-transitory machine-readable medium are also disclosed.

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Eindhoven, Netherlands

Daniel Pletea