Asset Data Security Through Blockchain Validation And Knowledge Graphs
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current systems lack effective methods to secure asset data in computing environments, particularly in manufacturing plants and automation facilities, where asset data is vulnerable to tampering and unauthorized modifications, leading to inconsistent and unverified information.
Innovation Solution
A method and system utilizing blockchain validation and knowledge graphs to manage asset data access, ensuring tamper-proof and reliable data by validating requests based on asset and requestor parameters, generating digital representation models, and applying data semantic rules to ensure secure data modification.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If knowledge graphs are used to integrate asset data from different sources, then data integration capability is improved, but data security and tamper-proof reliability deteriorate
Solution Approach 1:
The patent introduces blockchain technology as an intermediary layer between asset data sources and knowledge graphs. The blockchain validates and secures asset data through decentralized consensus mechanisms before it enters the knowledge graph, allowing the system to maintain both high data integration capability and strong tamper-proof reliability. The blockchain acts as a trusted mediator that prevents unauthorized modifications while enabling seamless data integration from multiple sources.
2Device complexity
If manual verification methods are used for asset data operations, then system complexity is reduced, but productivity and data verification efficiency deteriorate
Solution Approach 1:
The patent replaces manual verification mechanisms with automated blockchain-based validation systems. Smart contracts and cryptographic protocols automatically verify asset data integrity, access control rules, and operation authenticity without human intervention. This substitution dramatically improves data verification efficiency and productivity while the modular blockchain architecture keeps system complexity manageable through standardized interfaces and protocols.
3Ease of operation
If access control rules are not enforced on asset data, then ease of operation is improved, but data integrity and consistency deteriorate
Solution Approach 1:
The patent implements continuous feedback mechanisms through blockchain validation that monitor and enforce access control rules on asset data operations. Every data access or modification attempt is automatically validated against predefined access control policies stored on the blockchain. This feedback loop ensures data integrity and consistency are maintained while allowing broad accessibility, as the system automatically rejects only unauthorized operations while permitting all legitimate access.
Data Source
AI summary
A method and system for securing asset data in a computing environment includes receiving a request for modifying asset data. Further, the method includes validating the request for modifying the asset data based on pre-stored one or more parameters associated with the one or more assets deployed in the technical installation and the pre-stored one or more parameters associated with the requestor profile using blockchain validation method. The method further includes modifying the pre stored asset data to generate a modified asset data based on the validated request. Furthermore, the method includes generating a digital representation model of the modified asset data using a knowledge graph. Additionally, the method includes outputting the generated digital representation model of the modified asset data on a user interface.