Virtual Goods Merchant Verification via Decoy Analysis
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Solution Overview
Problem
The lack of verification for merchants and virtual goods in digital transactions leads to unsafe and deceitful transactions, as buyers cannot reliably determine if a merchant is trustworthy or if a virtual good is authentic.
Innovation Solution
A method and system that verify merchants and virtual goods by analyzing their transaction histories for interactions with known decoys and the use of deceitful contracts, associating an indicator with the digital component if the criteria are met, ensuring the merchant and virtual good are safe to transact with.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If no verification process is implemented for merchants and virtual goods, then the transaction process remains simple and fast, but the reliability and safety of transactions deteriorate
Solution Approach 1:
The patent implements preliminary verification of merchants and virtual goods before transactions occur. The system pre-establishes trust indicators by analyzing transaction histories, identifying decoys, and detecting deceitful contracts in advance, so that when a user views a digital component, the verification is already complete and the trust indicator is ready for display.
Solution Approach 2:
The patent introduces an intermediary verification system that acts as a mediator between buyers and sellers. This system analyzes transaction data, identifies patterns of fraudulent behavior, and generates trust indicators that mediate the transaction decision-making process, reducing the need for direct trust assessment between parties.
2Reliability
If comprehensive verification criteria are applied to all merchants and virtual goods, then the reliability of transactions improves, but the time and computational resources required increase
Solution Approach 1:
The patent applies verification criteria selectively rather than uniformly to all merchants and goods. The system identifies specific high-risk factors such as transactions with known decoys or use of deceitful contracts, and applies intensive verification only where these local quality issues are detected, rather than performing exhaustive checks on all transactions.
Solution Approach 2:
The patent replaces manual or mechanical verification processes with automated computational analysis. The system uses algorithms to automatically analyze transaction histories, identify patterns, and generate trust indicators, substituting human verification time with automated processing that can operate more efficiently at scale.
3Measurement precision
If transaction history analysis is performed for every digital component, then the precision of verification improves, but the productivity of the marketplace decreases
Solution Approach 1:
The system performs verification analysis in advance and caches the results as trust indicators that can be quickly displayed without re-analyzing the full transaction history each time a digital component is viewed. This preliminary action separates the computationally intensive analysis from the user interaction process.
Solution Approach 2:
The patent creates simplified copies or representations of the verification results in the form of trust indicators (such as badges or labels) that can be displayed on digital components. Instead of showing users the entire transaction history analysis, the system copies the essential verification outcome into a compact, easily displayable format.
Data Source
AI summary
The technology is generally directed to providing an indication signifying whether a merchant associated with a digital component has been verified. The digital component may be, for example, an advertisement for the sale of a virtual good, such as a non-fungible token (“NFT”) or other digital asset. The indication may be an indicator, such as an icon, conspicuously positioned on a portion of the digital component to alert users that the merchant associated with the digital component has been verified and/or the virtual good within the digital component has been verified. In some examples, the indication may alert users that the merchant associated with the digital component is the owner of the virtual good. The indication may be displayed if a threshold number of criteria are met, including whether the merchant has transacted with decoys, whether the transactions of the merchant utilized deceitful contracts.