International Business Machines Corporation

Reinhard Wolfram Heckel

Michail Vlachos

Vasileios Vasileiadis

Embodiments of the present invention disclose a method, computer program product, and system for data obfuscation and right-protection. An initial matrix X, represents the initial data set of the application and final matrix Xis obtained from X. The final matrix Xis obtained by performing one of the following operations X=(P(X)+E)F; X=P(X)F+E; and X=P(XF)+E. Where P(.) is a projection operator that projects an input initial matrix in a space having a lower dimension than the input matrix, E represents a noise matrix, and F represents a matrix as a perturbation series. The matrix F is represented as a perturbation series, whose leading term is the identity matrix I, one or more higher-order terms of the perturbation series embedding a secret, multiplicative noise, so as for a matrix multiplied by the matrix F is right-protected.

Obfuscation and protection of data rights

Embodiments include processing a data structure representing a dependency matrix having columns representing respective first components and rows representing respective second components. Aspects include assigning each cell of the matrix a value indicative of the level of dependency or indicative of an unknown dependency of a pair of first and second components forming the cell and assigning each component of the first and second components an affiliation vector indicative of the strength of affiliation of the component to N predefined initial clusters of cells of the matrix. Aspects also include determining a probability model using the affiliations vectors parameters and estimating the parameters of the probability model for a plurality of different numbers of clusters starting from the initial number N of clusters. Aspects further include computing a score for the parameters of the probability model estimated and selecting the parameters of the probability model with the highest computed score.

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Rueschlikon, Switzerland

Reinhard Wolfram Heckel