multiPass

Multi-chain product passports (MultiPass) provides a bridge allowing for verifiable data associated with a Digital Product Passport to be stored in multiple ledgers. The Digital Product Passport (DPP) is a digital identity card for products linked to verifiable data about their entire value chains. In the absence of standards, different, uninteroperable verifiable data storage solutions have emerged. MultiPass will provide a bridge allowing for verifiable data associated with a DPP to be stored in multiple ledgers. MultiPass’ ambition is to prevent DPP-provider lock-in and to enable semantics interoperability and portability of verifiable data. 

MultiPass will consider use cases where the custody of a product can be modified, and each custodian may have its own business relationships with specific verifiable data storage providers. Custodians will be enabled to store new verifiable data and define access control policies using the storage provider of their choice. A framework, inspired by “The Update Framework”, will allow a product creator and trusted delegees to maintain a distributed list of “pointers” to the current verifiable data location of a product. A MultiPass client application, configured only with the product creator as the root of trust, will be able to retrieve the current custodian of a product and locate the verifiable data associated with the corresponding DPP in a trusted and secure manner. 

At the same time, a semantics interoperability module will prevent unambiguity about the retrieved data and will allow cross-domain access control policies. MultiPass will integrate a fine-grained access control solution that implements Relationship-Based Access Control, which can efficiently capture both business relationships, as well as relationships between products. MultiPass will engage end-users in the design and validation of a proof-of-concept that will demonstrate multi-chain support for verifiable data storage in the manufacturing domain.

Team

Savvas Argyropoulos

PhD in electrical and computer engineering, 20 years of experience in academia and industry

Entity

StreamOwl

SME involved in R&D projects in computer-vision based inspection tasks, manufacturing, robotics, and Artificial Intelligence.

Website: http://sstreamowl.com
LinkedIn: https://www.linkedin.com/company/streamowl/