Image Data Integrity Verification via Field Signature Matching
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Solution Overview
Problem
Existing methods for verifying the integrity of image data, such as those recorded by black boxes, are inadequate in detecting modifications made using advanced editing tools, as these modifications can be difficult to recognize visually and are not effectively addressed by conventional techniques like digital watermarking or hash value calculations.
Innovation Solution
A device and method that utilize a database of field signatures corresponding to various editing tools to verify the integrity of image data by extracting metadata from the image data and comparing it with stored signatures, allowing for the detection of edits and identification of the editing tool used, independent of image quality and statistical characteristics.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If conventional methods like digital watermarking or hash value calculations are used to verify image data integrity, then the verification process can be implemented, but these methods fail to detect modifications made by advanced editing tools that preserve visual quality
Solution Approach 1:
The patent segments image data into multiple blocks and extracts specific fields (such as metadata, header information, or specific data segments) from each block. By analyzing individual fields rather than treating the entire image as a single unit, the system can detect subtle modifications introduced by editing tools that preserve overall visual quality. This segmentation approach enables targeted verification of critical data portions that are likely to contain editing artifacts.
Solution Approach 2:
The patent pre-stores field signatures corresponding to various editing tools in a database before actual verification occurs. These signatures represent characteristic patterns or metadata fields that are typically modified by specific editing tools. During verification, the extracted fields are compared against these pre-stored signatures, enabling rapid detection of editing activities without requiring complex real-time analysis of the entire image data.
2Reliability
If hash value calculations are applied to the entire image data, then integrity verification can be performed, but the verification process becomes computationally intensive and time-consuming
Solution Approach 1:
The patent extracts only specific fields from image data blocks rather than processing the entire image data. By identifying and extracting only the relevant fields (such as metadata, header information, or specific data segments) that are likely to contain editing artifacts, the system significantly reduces the volume of data requiring verification. This extraction approach maintains verification accuracy while dramatically decreasing computational requirements and processing time compared to whole-image hash calculations.
3Difficulty of detecting and measuring
If statistical characteristics and traces of editing are detected in image data, then editing detection can be achieved, but the detection accuracy is affected by image quality variations
Solution Approach 1:
The patent introduces field signatures as an intermediary reference standard for comparison. Instead of directly analyzing statistical characteristics of the image data that may be influenced by image quality variations, the system compares extracted fields against pre-stored field signatures that represent known editing patterns. This intermediary approach provides a stable reference framework that is independent of image quality, enabling consistent detection accuracy across different image conditions.
Data Source
AI summary
A device for integrity verification of image data. The device comprises: a database configured to store multiple field signatures respectively corresponding to multiple editing tools; a memory configured to store a program for integrity verification of image data; and a processor configured to execute the program stored in the memory. The processor: extracts a field from the image data when the program is executed; determines whether or not there is a field signature matched with the extracted field from among the multiple field signatures; and determines whether or not the image data are edited depending on a result of the determination.