International Business Machines Corporation

Abhilash Narendra

Ashish Jagmohan

Julie MacNaught

Ryan Enderby

Krishna Chaitanya Ratakonda

Yi-Min Chee

Ghavam G Shahidi

Daniel Joseph Friedman

Chandrasekhar Narayanaswami

Frank Robert Libsch

Roman Vaculin

Seiji Munetoh

James Thomas Rayfield

Arun Paidimarri

Nigel Hinds

Zhiyuan Li

An example operation may include one or more of generating, by a blockchain node, an asset containment world-state by execution of a linear-time ingestion algorithm, detecting, by the blockchain node, an asset aggregation or disaggregation event, updating, by the blockchain node, the world-state based on the asset aggregation or disaggregation event, and computing supply-chain metrics based on the updated world-state.

Computation of containment relationships

An example operation may include one or more of receiving, by a processing node, a plurality of documents reflecting at least one action performed on supply-chain assets at a location of an asset supply-chain node, translating, by the processing node, the plurality of the documents into a plurality of entry and exit events of the supply-chain assets, and generating incomplete or non-chronological supply chain assets-related data based on the plurality of the entry and the exit events.

Computation of supply-chain metrics

An example operation may include one or more of receiving, by a first node, from a second node at least one document describing an action performed on assets of an asset supply-chain at a location of the second node, executing, by the first node, a smart contract to translate the at least one document into a standardized form of entry and exit events and to define containment relationship of the assets, and computing metrics on the asset supply-chain based on the standardized form and the containment relationship.

An example operation may include one or more of receiving, via a network, tag data that is read from a tag associated with a physical object and signed with a key assigned to the tag, determining, via a blockchain peer, that the signed tag data is validly signed based on a corresponding key pair of the tag which is accessible to the blockchain peer, determining, via the blockchain peer, whether the tag data satisfies of one or more predefined conditions of the physical object, and storing the determination via a blockchain database.

Storage and communication environment for cryptographic tags

A processor-implemented method imposes trust at the edge of a blockchain. A hardware interrogator in a terminal interrogates an Internet of Things Smart Device (IoTSD). The IoTSD is an off-line device that is associated with a physical product. The IoTSD includes a cryptographic processor and one or more state sensors that monitor a state of the physical product. The hardware interrogator detects an event that is described by an encrypted entry in the IoTSD. The terminal transmits, to a blockchain, a transaction that describes the event that is detected by the hardware interrogator, such that the blockchain adds the transaction to a blockchain that is dedicated to the physical product, and the blockchain establishes a state of the physical product.

Smart device to impose trust at the edge of a blockchain

An example operation may include one or more of detecting, by a blockchain node, an asset aggregation or disaggregation event, performing, by the blockchain node, a single-shot update of an asset containment world-state at an ingestion of the asset aggregation or disaggregation event, determining, by the blockchain node, parent-child duration parameters for each instance of an asset parent-child association defined by the asset containment world-state, and executing a linear-time algorithm to calculate supply-chain metrics based on all combinations of the asset aggregation or disaggregation orderings based on the parent-child duration parameters.

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White Plains, NY, United States of America

Abhilash Narendra