Abstract: The present disclosure refers to a method for decorrelating input signals from a physical identifier. In a system having one or more processors, the method comprises: providing input signals from a physical identifier: providing a decorrelation matrix; generating output signals, comprising decorrelating the input signals by applying the decorrelation matrix to the input signals; and providing the output signals at an output. The providing of the decorrelation matrix comprises: providing an initial matrix, the initial matrix being an orthogonal matrix; and determining the decorrelation matrix from the initial matrix by at least once selecting and applying at least one of a plurality of matrix extensions on the initial matrix, wherein each of the plurality of matrix extensions generates, from an input orthogonal matrix, a further orthogonal matrix with higher matrix dimension than the input orthogonal matrix. Furthermore, a system for decorrelating input signals from a physical identifier is provided.

Abstract: The disclosure relates to a method for identification via channels in a system having a plurality of data processing devices. The method comprises selecting, in a first data processing device, an identifier indicative of a target second data processing device of a plurality of second data processing devices; determining, in the first data processing device, an outer codeword from the identifier using an outer code comprising a first outer code and a second outer code; determining, in the first data processing device, an optical orthogonal codeword from the outer codeword using an optical orthogonal code; determining, in the first data processing device; a randomly selected codeword from the optical orthogonal codeword using an error correction code; and emitting the selected codeword from the first data processing device via a channel. Further, a computer program product and a system for identification via channels are provided.

Abstract: A method for increasing privacy of user data of a plurality of users within a dataset is disclosed.