Document Authenticity Verification via Segment Signature Hashing
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Solution Overview
Problem
Current methods for verifying the authenticity of documents, especially in the context of combating fake news, are time-consuming and computationally expensive, and often fail to provide reliable information about the sources' credibility.
Innovation Solution
A computer-implemented method that calculates segment signatures of documents and searches them in an authoritative memory structure, such as a blockchain, to determine authenticity, allowing for rapid and accurate verification without modifying the documents.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If manual verification services (fact-checking, debunking services) are used to verify document authenticity, then reliability of verification is improved, but time consumption increases significantly
Solution Approach 1:
The system pre-calculates and stores cryptographic hashes of authoritative document segments in a blockchain database before verification is needed. When verification is requested, the system simply queries the pre-stored hashes against the document segments, eliminating the need for time-consuming manual fact-checking while maintaining high reliability through cryptographic verification.
Solution Approach 2:
The system creates cryptographic copies (hashes) of document segments and stores them in an immutable blockchain database. These cryptographic copies serve as verification references, allowing rapid automated comparison without requiring access to or analysis of the original documents, thus reducing time consumption while preserving verification reliability.
2Productivity
If automatic tools using AI techniques are used to analyze documents for fake news detection, then productivity of verification is improved, but computational cost increases significantly
Solution Approach 1:
The system extracts only the essential verification element (cryptographic hash of document segments) from the complex AI analysis process. By replacing comprehensive AI document analysis with simple hash comparison, the system achieves high verification productivity while dramatically reducing computational cost and energy consumption.
Solution Approach 2:
The system changes the verification parameter from complex semantic analysis (requiring high computational power) to cryptographic hash comparison (requiring minimal computation). This parameter transformation maintains verification effectiveness while reducing computational cost and energy usage by several orders of magnitude.
3Reliability
If digital signatures are embedded in documents to verify authenticity, then reliability of source verification is improved, but device complexity increases
Solution Approach 1:
The system introduces a blockchain database as an intermediary layer between document creation and verification. Instead of embedding complex digital signature mechanisms directly in documents, the system uses the blockchain to store and manage cryptographic hashes, simplifying the verification process while maintaining source verification reliability through the blockchain's immutable nature.
4Measurement precision
If comprehensive analysis of document segments is performed to detect fake news, then measurement precision of authenticity detection is improved, but loss of time increases
Solution Approach 1:
The system segments documents into discrete units and assigns cryptographic hashes to each segment. By verifying individual segment hashes against the blockchain database, the system achieves precise authenticity detection at the segment level while maintaining fast verification speed, as each segment can be independently and quickly verified without analyzing the entire document.
Data Source
AI summary
A solution is proposed for verifying authenticity of documents. A corresponding method comprises calculating signatures representative of segments splitting a current document. The signatures are searched in an authoritative memory structure containing corresponding signatures of segments splitting authoritative documents whose content is certified by authoritative sources. Authenticity information of the current document is determined according to a result of this search. A computer program and a computer program product for performing the method are also proposed. Moreover, a system for implementing the method is proposed.