File Tokenization Using Title and Content Hash Verification

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Solution Overview

Problem

Existing tokenization methods struggle to effectively protect big data, particularly cleartext data, from unauthorized disclosure and breaches, especially when dealing with complex formats like PDFs and JPGs, which are not parsed during tokenization.

Innovation Solution

Generate a token using an electronic file's title and content hashes, combined with a cryptographic signature, to create a secure and verifiable tokenized version of the data.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Adaptability or versatility

If traditional tokenization methods are used on cleartext big data, then data protection is provided, but the system cannot effectively handle complex formats like PDF and JPG files

Engineering Contradiction:

Improvecapability to handle complex file formatsVSAvoiddata protection effectiveness

Core Design Contradiction:

Adaptability or versatilityVSReliability

Solution Approach 1:

The patent segments the big data processing into distinct stages: file format detection, parsing/extraction of data elements, tokenization of extracted elements, and reconstruction. This segmentation allows the system to handle complex formats like PDF and JPG by processing them through appropriate format-specific parsers while maintaining secure tokenization of sensitive data elements within those formats

Inventive Principle:

Principle #1Segmentation

Solution Approach 2:

The patent introduces an intermediary parsing layer between the raw file formats and the tokenization process. This intermediary layer extracts data elements from complex formats (PDF, JPG) and transforms them into a standardized format suitable for tokenization, thereby enabling the tokenization system to handle diverse file formats without compromising security

Inventive Principle:

Principle #24Intermediary (Mediator)

2Device complexity

If cleartext big data is stored and processed without tokenization, then system complexity is reduced, but the risk of unauthorized data disclosure and data breaches increases significantly

Engineering Contradiction:

Improvesystem processing simplicityVSAvoidrisk of unauthorized data disclosure

Core Design Contradiction:

Device complexityVSObject-affected harmful factors

Solution Approach 1:

The patent applies preliminary tokenization to data elements before they are stored or processed in the system. By replacing sensitive data elements with tokens in advance, the system maintains simplicity in storage and processing operations while eliminating the risk associated with storing cleartext sensitive data. The tokenization occurs automatically as data enters the system

Inventive Principle:

Principle #10Preliminary action

Solution Approach 2:

The patent creates token copies of sensitive data elements that preserve the structural and functional properties needed for system operations while eliminating the security risks of cleartext storage. These token copies can be processed and stored without the security vulnerabilities associated with original cleartext data, yet still allow legitimate system operations to proceed

Inventive Principle:

Principle #26Copying

Data Source

PatentUS12512989B1Tokenization for big data

Publication Date: 2025.12.30 WELLS FARGO BANK NA

AI summary

The present disclosure is directed to systems, methods, and non-transitory computer-readable media including generating a token using an electronic file, the electronic file having a title and a content, and the token including a title hash based on the title of the electronic file and a file hash based on the content of the file and verifying the token based on at least one of the title hash, the file hash, and the signature.