METHOD AND SYSTEM FOR SELECTIVE AND PRIVACY-PRESERVING ANONYMIZATION

The application is directed at a method and system for selective anonymization, wherein the method comprises the steps of capturing visual streaming data, identifying an anonymizable object in the visual data, for which a quantized identity (y) and an individual private key (n) is determined. Based on the individual private key (n) and the quantized identity (y), the first set of encryptions (E1) is calculated, comprising at least two distinct encryptions of the quantized identity. The first set of encryptions (E1) of the quantized identity (y) is sent to a central server, which, in return, sends an exception information indicating if an exception list of the central server comprises a set of exception encryptions (E2) which corresponds to the first set of encryptions (E1). The anonymizable object is then selectively anonymized in the streaming visual data depending on the exception information and an operating mode of the edge device, thereby generating selectively modified visual streaming data and the selectively modified visual streaming data is transmitted to a remote database.