Recursive Object Story Structures for Secure Lifecycle Tracking
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Solution Overview
Problem
Existing systems fail to provide a secure, efficient, and comprehensive method for generating, storing, and accessing information about the lifecycle of products, entities, and locations, leading to inefficiencies and mistrust due to confusion and insecurity in data management.
Innovation Solution
A distributed network of computing systems maintains a recursive object story data structure that includes claims and evidence, allowing secure storage and access to information about the lifecycle of products, entities, and locations, with each actor having specific rights to read and write relevant information, and utilizing cryptographic hashes to ensure data integrity.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If a distributed network of computing systems maintains a recursive object story data structure with claims and evidence, then data security and integrity are improved, but system complexity increases
Solution Approach 1:
The data structure is segmented into distinct components: objects, claims, and evidence elements. Each object story is divided into multiple claims, and each claim is supported by separate evidence elements. This segmentation allows the system to maintain complex relationships while managing data integrity through modular, independently verifiable units.
Solution Approach 2:
The patent implements a nested hierarchical structure where object stories contain multiple claims, each claim contains multiple evidence elements, and objects can be nested within other objects (e.g., components within products). This nested doll approach enables the system to manage complexity by organizing data at multiple levels of abstraction, where each level can be independently validated.
2Measurement precision
If cryptographic hashes are used to ensure data integrity across the distributed network, then measurement precision of data authenticity is improved, but computational energy consumption increases
Solution Approach 1:
Cryptographic hashes are computed and stored preliminarily with each claim and evidence element when the data is first created or modified. This preliminary action eliminates the need for repeated full-data cryptographic verification, as the pre-computed hashes can be quickly compared to verify integrity, significantly reducing subsequent computational energy requirements.
3Ease of operation
If actors are granted specific rights to read and write relevant information in the object story, then ease of operation and data accessibility are improved, but system complexity in managing access rights increases
Solution Approach 1:
The patent implements local quality by granting actors specific rights (read, write, delete) on a per-object or per-claim basis rather than applying uniform access controls system-wide. This allows different actors to have different levels of access to different portions of the object story, improving operational ease for authorized users while the system manages complexity through localized permission assignments rather than global access control.
Data Source
AI summary
The present application relates to devices and components including apparatus, systems, and methods to provide object story data structures.