Digital Token Similarity Assessment for Uniqueness Verification
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Solution Overview
Problem
Existing technologies fail to effectively manage and prevent data replication across digital tokens, leading to issues like copyright violation and digital fraud, as they lack mechanisms to restrict or manage similar digital tokens.
Innovation Solution
A token management platform (TMP) that assesses the similarity of digital tokens before generation, using similarity scores to invoke program codes for data alteration or restriction, and monitors token usage to prevent unauthorized duplication.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If existing notarized ledger technology is used to create digital tokens, then digital tokens can be created and stored, but the technology fails to prevent data replication across multiple digital tokens
Solution Approach 1:
The patent applies preliminary action by performing similarity assessment and data uniqueness verification before a digital token is finalized and stored on the blockchain. The system checks whether the data to be tokenized already exists in other digital tokens, and only allows tokenization if the data passes the uniqueness threshold, thereby preventing replication before it occurs.
Solution Approach 2:
The patent introduces an intermediary similarity assessment mechanism that acts as a mediator between the data to be tokenized and the blockchain storage. This intermediary layer performs comparison operations and similarity scoring to determine whether the data is unique enough to be tokenized, without requiring changes to the underlying blockchain technology.
2Reliability
If similarity assessment is performed on all digital tokens before generation, then data replication is prevented, but processing time and computational resources increase
Solution Approach 1:
The patent applies partial action by performing similarity assessment selectively rather than on all digital tokens uniformly. The system adjusts the assessment threshold and depth based on the type of data being tokenized and the risk level, performing more thorough checks only when necessary, thereby reducing overall processing time while maintaining prevention effectiveness.
3Adaptability or versatility
If existing technologies allow creation of multiple digital tokens with similar data, then flexibility in digital asset creation is maintained, but copyright violation and digital fraud risks increase
Solution Approach 1:
The patent applies parameter changes by transforming the similarity assessment into a quantifiable parameter with adjustable thresholds. The system calculates similarity scores based on configurable parameters and compares them against threshold values, allowing flexible adjustment of strictness levels to balance between preventing fraud and allowing legitimate variations in digital asset creation.
Data Source
AI summary
Systems, apparatus, and methods of managing the lifecycle of a digital token are described. In an example, while the digital token is being generated, the digital token or the underlying digital asset can be compared to other digital tokens and/or digital assets to determine similarity thereto. Based on the similarity, a program code interface (e.g., smart contract, an application programming interface—API, RPC, etc.) can be determined and an API call can be made to execute a program code. The execution can indicate whether the digital token creation process can be completed. If so, the digital token is recorded. Thereafter, its use or the use of the underlying digital asset can be monitored, whereby this monitoring can apply similarity processing. If a use thereof is determined or if a use of a similar digital token or similar digital asset is determined, notifications can be generated and sent.