Mastercard International Incorporated

Robert Collins

Rob Byrne

Leandro Nunes Da Silva Carvalho

Steven Charles Davis

Deborah Eleanor Barta

Stephen Elder

David James Fleming

Susan Lynch

Bella Wu

Conor McQuillan

A method for conveying auditable information regarding provenance of a product that is cryptographically accurate while retaining complete anonymity of product and participant on a blockchain includes: receiving a product identifier; generating a digital token by applying a hashing algorithm to the product identifier; generating an entry value by applying the hashing algorithm to a combination of an event identifier and the digital token; generating a digital signature by digitally signing a data package using a private key of a cryptographic key pair, where the data package includes at least a blockchain address, the event identifier, and the digital token; and transmitting the blockchain address, the digital signature, and the entry value to a node in a blockchain network.

Method and system for generalized provenance solution for blockchain supply chain applications

A method for generating a block for a blockchain utilizing an all-or-nothing transform includes: storing, in a memory of a blockchain node in a blockchain network, a blockchain comprised of a plurality of blocks including at least a most recent block; receiving a plurality of blockchain transactions; applying an all-or-nothing transform (AONT) to the plurality of blockchain transactions to generate a plurality of pseudomessage blocks; generating a new block header including at least a timestamp and a hash value associated with the most recent block; generating a new block including at least the generated new block header and the plurality of pseudomessage blocks; and transmitting the generated new block to a plurality of additional blockchain nodes in the blockchain network.

Method and system of all-or-nothing transform (AONT) for increasing blockchain integrity

A method for aggregated storage of observational data on a blockchain includes: receiving, by a receiver of a processing server, a plurality of data entries, wherein the plurality of data entries includes (i) one or more data entries received from each of a plurality of different external devices, or (ii) multiple data entries received from one external device; canonicalize, by a processor of the processing server, the received plurality of data entries into a single data value; hashing, by the processor of the processing server, the single data value to generate a hashed data value; transmitting, by a transmitter of the processing server, the hashed data value to a blockchain node in a blockchain network; receiving, by the receiver of the processing server, a reference value from the blockchain node; and storing, in a memory of the processing server, the received reference value with the plurality of data entries.

Method and system for aggregated storage of observational data on a blockchain

A method for reducing file size of a blockchain through hash truncation includes: receiving a plurality of blockchain transactions; generating a first Merkle root of a first Merkle tree comprised of a first hash of each of the plurality of blockchain transactions; generating a second Merkle root of a second Merkle tree comprised of a second hash of each of the plurality of blockchain transactions, where the second hash is a truncation of the first hash for the respective blockchain transaction; generating a new block comprised of a block header and the first hash of each of the plurality of blockchain transactions, the block header including at least a timestamp, the first Merkle root, the second Merkle root, and a block reference value associated with a prior block in a blockchain; and transmitting the generated new block to a plurality of additional nodes in the blockchain network.

Method and system for optimization of blockchain data storage

The present disclosure relates to secure and verifiable storage and retrieval of data, in particular in the context of product tracking. According to one aspect there is provided a computer-implemented verifiable data storage method comprising: receiving a product serial number; receiving an account identifier; producing a non-invertible hash by operating on the product serial number and the account identifier; and causing the hash to be written to a secure distributed data store. According to another aspect there is provided a computer-implemented verification method comprising: receiving a product serial number; receiving an account identifier; producing a non-invertible hash by operating on the product serial number and the account identifier; searching a secure distributed data store for the hash; and depending on a result of the searching, providing confirmation or denial of the hash's presence in the secure distributed data store.

Methods and systems for secure product tracking data storage and verification

A method is provided for communicating a non-speech message as audio from a first device to a second device such that information can be passed between the first and second device. The method includes: encoding the non-speech message as a dissimilar speech message having a plurality of phonemes; transmitting the speech message over one or more audio communications channels from the first device; receiving the speech message at the second device; recognizing the speech message; and decoding the dissimilar speech message to the non-speech message. By using existing audio functionality, and the increasingly more reliable voice recognition applications, an improved method is provided for sharing complex data messages using commonly available communication channels.

Method for communicating a non-speech message as audio

Machine learning vision systems rely on very large numbers of training images to learn to recognize particular shapes and configurations of shapes. Traditionally, such datasets of training images needed to be selected and tagged (or labelled) manually. To recognize a particular object, such as a dog or vehicle, under realistic settings with an acceptable degree of reliability, may require data sets of thousands of images per object class. To improve this, a method is provided to generate datasets with a multiplicity of corresponding images are generated using a 3D rendering engine using a plurality of lighting arrangements and a plurality of views. Artefacts may also be introduced. In this way, very large data sets become feasible, with a variable degree of correspondence in each data set.

Methods for generating a dataset of corresponding images for machine vision learning

A natural language processing system and method includes a computing device that applies a phonetic code algorithm to a received proper name uttered by a user and determines from a phonetic name database whether multiple different spellings of the name exist. The computing device recognizes an utterance of the user providing a natural language cue regarding the correct spelling of the name or provides a voice prompt to the user including a natural language cue regarding the correct spelling of the name, and converts the name to text including the correct spelling.

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Dublin, Ireland

Robert Collins