Cryptographic Media File Validation via Primary Subset Segmentation
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Solution Overview
Problem
Existing technologies face challenges in confirming the authenticity of media files captured by various devices, particularly in determining true copies and validating changes made to primary subsets of recorded data, as well as authenticating modified versions of files.
Innovation Solution
A computer-implemented method and system that cryptographically processes capture device output to create a validatable master file, allowing for the identification and validation of primary and secondary subsets, and tracking changes through a blocktree data structure, enabling the verification of file authenticity and integrity.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If cryptographic processing is applied to validate media file authenticity, then file authenticity and integrity are confirmed, but processing complexity and computational overhead increase
Solution Approach 1:
The media file is divided into primary subsets and secondary subsets, with cryptographic validation applied selectively to primary subsets. This segmentation allows authenticity verification of critical portions without processing the entire file, reducing computational overhead while maintaining reliability.
Solution Approach 2:
Cryptographic hashes and validation data are pre-computed and embedded into the media file structure during initial processing. This preliminary action enables rapid authenticity verification later without requiring complex real-time cryptographic operations, thus improving reliability while managing processing complexity.
2Productivity
If selective validation of primary subsets is implemented, then validation efficiency is improved, but determining what constitutes a primary subset becomes more complex
Solution Approach 1:
Different portions of the media file are assigned different validation priorities. Primary subsets containing critical information (such as foreground layers in visual files or essential audio elements) are identified and marked for mandatory validation, while secondary subsets allow more flexibility. This local differentiation improves validation efficiency by focusing resources on critical portions without requiring complex global analysis.
3Reliability
If changes are tracked in media files, then file integrity is maintained, but the complexity of tracking and validating changes increases
Solution Approach 1:
The system embeds cryptographic hashes and validation data within the file structure itself, creating an internal feedback mechanism. When changes occur, the system can quickly detect them by comparing current data against the embedded validation data, maintaining file integrity through automated feedback rather than complex external tracking systems.
Solution Approach 2:
Instead of tracking every change dynamically, the system creates cryptographic copies (hashes) of the original data and stores them within the file structure. These cryptographic copies serve as immutable references that can be quickly compared against current data to verify integrity, simplifying the change tracking process while maintaining high reliability.
Data Source
AI summary
A computer identifies capture device output that represents an aspect of a recorded event. The computer cryptographically processes the primary subsets of capture device output to produce a validatable master file which includes master file media data primary subset from the capture device output, master primary subset metadata of the master file media data primary subset, and master file blocktree data. The master file blocktree data includes a master file block history portion, a master file signature key portion, and a signed hash of the master file media data primary subset. The computer also modifies the master file media data primary subset to produce a reference file media data primary subset. reference files and distributable files. The computer verifies the authenticity of each of these files.