Methods and apparatus to determine provenance for data supply chains

US11637687B2 · kind B2 · utility

Assignee

• Intel Corporation · US

Inventors

• Ned M. Smith · Beaverton, US
• Francesc Guim Bernat · Barcelona, ES
• Sanjay Bakshi · Beaverton, US
• Paul C. O'Neill · Marietta, US
• Ben McCahill · Santa Clara, US
• Brian Andrew Keating · Shannon, IE
• Adrian Hoban · Limerick, IE
• Kapil Sood · Beaverton, US
• Mona Vij · Hillsboro, US
• Nilesh Jain · Portland, US
• Rajesh Poornachandran · Portland, US
• Trevor Cooper · Portland, US
• Kshitij A. Doshi · Tempe, US
• Marcin Spoczynski · Leixlip, IE

Key dates

• Filing date: Dec 20, 2019
• Grant date: Apr 25, 2023
• Expiry date: Mar 13, 2041

Classification

• Technology area (CPC H): Electricity
• CPC primary: H04L9/50
• WIPO field: Digital communication
• WIPO sector: Electrical engineering

Abstract

Methods, apparatus, systems and articles of manufacture to determine provenance for data supply chains are disclosed. Example instructions cause a machine to at least, in response to data being generated, generate a local data object and object metadata corresponding to the data; hash the local data object; generate a hash of a label of the local data object; generate a hierarchical data structure for the data including the hash of the local data object and the hash of the label of the local data object; generate a data supply chain object including the hierarchical data structure; and transmit the data and the data supply chain object to a device that requested access to the data.