NFT Data Provisioning Framework for Secure Dataset Access
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Solution Overview
Problem
Conventional IT systems face challenges in identifying and preventing malicious use or resale of valuable datasets, such as those generated by mobility service providers, due to difficulties in detecting intent and enforcing access controls.
Innovation Solution
A data provisioning framework using non-fungible tokens (NFTs) on a distributed ledger, which creates, lists, and manages ownership of NFTs representing datasets, allowing secure sharing and controlling access based on predefined terms and consumption patterns.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If traditional client-server IT systems are used for data sharing, then data can be accessed and shared between service providers, but the system cannot reliably identify or prevent malicious use, tampering, or resale of data
Solution Approach 1:
The patent introduces a blockchain-based NFT marketplace as an intermediary system between data owners and data consumers. This intermediary platform automatically enforces access rules, tracks data consumption patterns, and prevents unauthorized resale or tampering through immutable ledger recording, thereby improving data security without requiring complex traditional access control systems.
Solution Approach 2:
The system implements continuous feedback mechanisms by monitoring data consumption patterns through the NFT marketplace. When unauthorized access or resale attempts are detected, the system can automatically respond by blocking access or alerting data owners, creating a closed-loop security system that adapts to threats in real-time.
2Productivity
If data is made accessible to multiple users, then data utilization and monetization opportunities increase, but the ability to control and monitor usage terms deteriorates
Solution Approach 1:
The NFT marketplace continuously monitors data consumption patterns and provides feedback to data owners about how their data is being used. This enables the system to enforce access terms dynamically, allowing data to be shared broadly while maintaining precise control through automated pattern recognition and response mechanisms.
Solution Approach 2:
The system creates unique NFT copies for each data consumer that encode specific access rights and usage terms. Each NFT is a distinct, non-fungible token that can be transferred or revoked independently, enabling flexible data sharing while maintaining precise control over each user's access privileges.
3Object-affected harmful factors
If data sharing terms and conditions are enforced through traditional IT systems, then some level of access control is possible, but detection of malicious intent and prevention of resale remains difficult
Solution Approach 1:
The blockchain-based NFT marketplace serves as a transparent intermediary that records all data access transactions on an immutable ledger. This intermediary system automatically detects and prevents unauthorized resale or tampering by verifying each transaction against predefined access rules, eliminating the need for complex intent detection algorithms.
Solution Approach 2:
The system creates unique, non-fungible NFT copies for each data consumer that encode specific access rights. These digital copies cannot be replicated or modified, making it technically impossible to tamper with or resell data without detection, as any unauthorized transaction would violate the immutable blockchain record.
Data Source
AI summary
A system and method for data provisioning using non-fungible tokens (NFTs) is disclosed. The system stores a dataset associated with a data owner and receives a purchase request from an account of a data user for an NFT that represents the dataset on a ledger. The system updates ownership information of the NFT to include the data user based on whether the purchase request satisfies terms associated with a sale of the NFT. The system receives an access request for the dataset and validates the request based on the ownership information and whether the access request satisfies access rules for the dataset and terms associated with usage of the dataset. The system serves a copy of the dataset to an analytics system based on the validation and determines a consumption pattern of the copy. The system controls access to the copy on the analytics system based on the consumption pattern.