Forensic Image Hash Verification for Evidence Authenticity
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing digital forensic systems lack the ability to verify the authenticity of images and sounds by comparing hash values between an imaging device and an image storage device, leading to difficulties in ensuring the integrity and authenticity of digital evidence.
Innovation Solution
A digital forensic image verification system that generates a first hash value at the imaging device and a second hash value at the image storage device, comparing these values to determine if the image has been forged or altered.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If hash value verification is implemented between imaging device and image storage device, then authenticity and integrity of digital evidence is improved, but device complexity and computational load increase
Solution Approach 1:
The verification system is segmented into distinct functional modules: a hash value generation unit in the imaging device, a hash value storage unit, and a verification unit in the image storage device. This segmentation allows each component to perform its specific function independently, reducing overall system complexity while maintaining reliability through distributed verification capabilities.
Solution Approach 2:
The imaging device generates and transmits the hash value of the captured image to the image storage device before the actual verification process. This preliminary action enables the verification unit to compare the transmitted hash value with the hash value of the stored image, ensuring authenticity without requiring complex real-time computation during the verification phase.
2Measurement precision
If hash value comparison is performed to verify image authenticity, then measurement precision of forgery detection is improved, but loss of time in verification process increases
Solution Approach 1:
Instead of performing complex image analysis or comparison operations on the actual image data, the system uses hash values as simplified copies or representations of the image content. These hash values enable rapid comparison with high precision, achieving accurate forgery detection without the time-consuming process of analyzing the full image data.
3Reliability
If computational verification processes are added to imaging and storage devices, then reliability of evidence verification is improved, but use of energy increases
Solution Approach 1:
The verification system extracts only the essential cryptographic element (hash value) from the complex image data for transmission and comparison. By taking out just this small, critical component rather than processing or transmitting the entire image, the system achieves reliable verification with minimal computational overhead and energy consumption in both the imaging and storage devices.
Data Source
AI summary
A digital forensic image verification system according to an embodiment of the present disclosure includes an imaging device having a imaging unit configured to produce an image, a first hash value generator configured to generate a first hash value for the image, and a transmitting unit configured to transmit the image and the first hash value; and an image storage device having a receiving unit configured to receive the image and the first hash value from the imaging device, a second hash value generator configured to generate a second hash value for the image, and a controller configured to compare the first hash value and the second hash value with each other.