Distributed Ledger Crawling With Cross-Chain Data Standardization
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Solution Overview
Problem
Conventional distributed ledger technologies face challenges in large-scale data processing due to the volume and format diversity of transaction data, anonymization of user data, and lack of mechanisms to verify links between on-chain tokens and off-chain assets, making personalized and secure transactions difficult, especially across multiple blockchains.
Innovation Solution
A tokenization platform processes distributed ledger data by converting attributes into a standardized format, integrates social media data to create a social graph, and uses smart contracts to manage non-fungible tokens (NFTs) for secure transactions and advertisements, while mitigating risks through escrow mechanisms.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If distributed ledger transaction data is processed in various formats from multiple blockchains, then data coverage and versatility are improved, but data processing complexity and difficulty increase
Solution Approach 1:
The patent introduces an intermediary processing layer that standardizes transaction data from multiple blockchains into a common format. This intermediary system translates diverse blockchain data structures into a unified representation, enabling cross-chain data analysis without requiring complex custom processing for each blockchain format.
Solution Approach 2:
The system transforms transaction data by changing its parameters and format to a standardized representation. This involves converting different blockchain data schemas, transaction formats, and structural parameters into a common standardized format that can be universally processed and analyzed across multiple blockchain networks.
2Reliability
If transaction data is anonymized for privacy protection, then security and user privacy are improved, but personalization and targeting capabilities deteriorate
Solution Approach 1:
The patent segments user data into multiple dimensions: on-chain transaction data remains anonymized for privacy protection, while off-chain supplementary data (such as social media profiles, demographic information, and preference data) is collected and processed separately. This segmentation allows the system to maintain privacy on the blockchain while enabling personalization through external data sources.
Solution Approach 2:
The system moves personalization capabilities to another dimension by combining on-chain transaction behavior data with off-chain user profile data. Instead of relying solely on blockchain data for personalization, the system creates a multi-dimensional user view that includes both anonymous transaction patterns and identified user attributes from external sources.
3Ease of operation
If third parties are used to verify links between on-chain tokens and off-chain assets, then trust is offloaded from the system, but security risk and vulnerability increase
Solution Approach 1:
The patent introduces verified intermediaries (such as auditors, oracle services, or trusted third parties) that act as mediators to verify and certify the links between on-chain tokens and off-chain assets. These intermediaries provide cryptographic proofs and verification mechanisms that allow the system to maintain security while still enabling trustless verification of asset links through decentralized validation.
Data Source
AI summary
The present disclosure relates to systems and methods that leverage smart contracts and distributed ledgers, such as blockchains, to provide a trustless or substantially trustless ecosystem that includes distributed ledger crawler functions, advertising functions, risk mitigation for secondary sales of distributed ledger tokens, and various methods of acquiring and using distributed ledger tokens, among other uses.