Data Protection News

Data shuffling overcomes reservations about using perturbed or modified confidential data because it retains all the desirable properties of perturbation while performing better than other masking techniques in both data utility and disclosure risk. For example, if dealing with source data which contains customer records, real life surname or first name can be randomly substituted […]