Anonymous Digital Document Evidence via Hash Extraction
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Solution Overview
Problem
Current blockchain systems face inefficiencies as they become longer, requiring more time and energy to generate new links, and there is a need for a method to provide an irrefutable time and date stamp and digital certificate for digital documents without exposing the content, while also ensuring data integrity and anonymity.
Innovation Solution
A computer-implemented method that generates an evidence key by combining metadata, cryptographic hashes, and time stamps, which is then further hashed and stored securely, allowing for anonymous verification and integrity checking without revealing the digital document's content, using a remote device that separates the time source from the evidence key generator.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If blockchain systems are used to record digital document evidence, then reliability and security are improved, but use of energy and computing power requirements increase significantly
Solution Approach 1:
The patent extracts only the essential elements needed for evidence verification (metadata and cryptographic hash) from the complete digital document, storing these extracted elements on the blockchain instead of the entire document. This reduces the data size and energy consumption while maintaining verification reliability.
Solution Approach 2:
The system segments the digital document into two parts: the original document remains in the user's system, while only the metadata and cryptographic hash are sent to the remote device and stored on the blockchain. This segmentation allows verification without transferring or storing the entire document, reducing energy consumption.
2Measurement precision
If the digital document is sent to the remote device for verification, then verification accuracy is improved, but loss of information (privacy) increases
Solution Approach 1:
The system extracts only the cryptographic hash and metadata from the digital document before sending to the remote device. This extraction allows verification of document integrity without exposing the actual document content, maintaining privacy while ensuring verification accuracy through cryptographic comparison.
Solution Approach 2:
The cryptographic hash acts as an intermediary that enables verification without direct access to the original document content. The remote device verifies the document by comparing hashes rather than examining the actual content, thus maintaining privacy while ensuring verification accuracy.
3Measurement precision
If extensive computational power is used to generate cryptographic hashes and verify documents, then measurement precision is improved, but use of energy increases
Solution Approach 1:
The system extracts and processes only the cryptographic hash and metadata rather than performing extensive computational analysis on the entire document. This extraction approach maintains verification precision through cryptographic methods while significantly reducing computational energy requirements.
Data Source
AI summary
Improved computer-implemented methods for evidencing the existence of a digital document, anonymously evidencing the existence of a digital document, database management for systems for evidencing the existence of a digital document, and verifying the data integrity of a digital document provide increased reliability, security and enhance trust from users and third parties.