Merck Patent Gmbh

Merck Paient Gmbh

Frederic Berkermann

Daniel Szabo

Thomas Endress

Natali Melgarejo Diaz

Fabian Wahl

Carl Christian Brazel

Michael Platzoeder

A system and a method of receiving object data representing one or more discriminating characteristics of a physical object or group of physical objects is described herein. The method includes: processing the object data by means of a machine-learning-based object recognition process to obtain discriminating data representing one or more collision resistant virtual representations of the physical object or group of physical objects; comparing at least one of the discriminating data and an original hash value derived therefrom by application of a pre-determined cryptographic hash function thereto with corresponding reference data stored in one or more data repositories with restricted access; and, if said comparison with the reference data results in a match, outputting digitally signed identification data comprising said hash value.

Methods and systems for automatic object recognition and authentication

In one embodiment, the invention is directed to a method of reading a marking, comprising a stimulation step, wherein a physical challenge according to a predetermined challenge-response authentication scheme corresponding to the PUF is created and applied to a PUF; a detection step, wherein a response generated by the PUF in accordance with the challenge-response authentication scheme in reaction to the challenge is detected and a digital signal representing the response is generated; a processing step, wherein the digital signal is processed in order to generate a hash value of the response by application of a predetermined cryptographic hash function to the digital signal; and an output step, wherein data representing the generated hash value as a first reading result is output.

Composite security marking and methods and apparatuses for providing and reading same

The invention relates to a computer-implemented method, system and computer program for tokenization of a physical object. The method comprises generating or receiving object identification data based on an inspection of the physical object, the object identification data comprising at least one cryptographic hash value as a collision-resistant virtual representation of the physical object; and generating a non-certified token being assigned to the physical object and representing the object identification data. The invention further relates to a computer-implemented method, system and computer program of certifying a token including object identification data. Moreover, the invention relates to a computer-implemented method, system and computer program of tokenization of a process.

Methods and systems for token-based anchoring of a physical object in a distributed ledger environment

The present invention relates to the field of tracing and anti-counterfeit protection of physical objects, and particularly to preparing and performing a secure authentication of such objects. Specifically, the invention is directed to a method and a system for preparing a subsequent secured authentication of a physical object or group of physical objects by a recipient thereof, to a method and system for authenticating a physical object or group of physical objects, to a method and system of securely providing a time-variant combination scheme for authenticating a physical object or group of physical objects according to the above methods, and to related computer programs corresponding to said methods. The invention is based on the concept of increasing the security level by increasing the information entropy of the data on which the anti-counterfeit protection is based by means of random data communicated to authenticating entities in an algorithmically hidden way.

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Darmstadt, Germany

Frederic Berkermann