Digital Document Forensic Analysis via Machine Learning
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Solution Overview
Problem
Existing digital document management systems lack effective means to capture, store, and analyze updates to digital documents in an immutable and auditable form, making it difficult to determine the authenticity and validity of digital documents.
Innovation Solution
The system employs a machine-learning architecture to perform forensic operations on digital documents, including security checks, audit trail analysis, and authenticity verification, by comparing input documents against master documents stored in a database or blockchain.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If conventional document signing programs rely on Internet cryptography techniques (SSL, electronic signature images, timestamps) to secure document transfer and storage, then the document is protected from interception during transit, but the document remains vulnerable to tampering and forgery when stored on cloud servers or local systems
Solution Approach 1:
The system performs preliminary actions by capturing document metadata, audit trails, and execution information at the time of document creation and signing, storing this information in an immutable ledger before any potential tampering can occur. This preliminary capture of forensic evidence enables later verification of document authenticity and detection of any modifications.
Solution Approach 2:
The patent introduces an intermediary forensic analysis system that acts as a mediator between the document storage system and verification processes. This intermediary captures and analyzes document metadata, execution information, and audit trails, providing an independent verification layer that detects tampering without relying solely on cryptographic protections.
2Device complexity
If conventional approaches capture limited knowledge about document content, users, devices, and document history, then the authentication process is simpler, but the capacity for auditing records and forensic analysis is insufficient
Solution Approach 1:
The system segments document verification into multiple independent components: document metadata capture, execution information recording, audit trail analysis, and forensic verification. Each component handles a specific aspect of document authenticity, allowing comprehensive forensic analysis while maintaining modular, manageable complexity in each individual component.
3Productivity
If the volume of documentation increases in the modern digital environment, then digitalization facilitates business processes, but determining the authenticity or validity of digital documents becomes impractical and inefficient for humans to perform
Solution Approach 1:
The system implements self-service automation where the forensic analysis system automatically captures document metadata, executes forensic analysis algorithms, compares documents against immutable ledgers, and generates verification results without human intervention. This automated self-service approach handles high volumes of documents efficiently, freeing humans from manual authentication tasks while maintaining high accuracy.
Data Source
AI summary
Embodiments disclosed herein include systems and methods for generating and editing digital documents, and applying electronic signatures to the documents. The system further performs forensic operations on digital documents for determining the authenticity of the document data or metadata and validating the status of document. The forensic operations may include, for example, security operations, audit trail analysis, and authenticity/verification analysis, which the system performs on an input document being scrutinized for authenticity and a master digital document purportedly corresponding to the input digital document. The system may apply a machine-learning architecture to identify discrepancies otherwise imperceptible to humans or to speed the review process. The system may generate a report for the user who submitted the forensics request indicating the results of the forensic operations. The available forensics operations and level of information about the master digital document are tailored to permissions afforded to the submitting-user.