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Related Experiment Video

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Visualization of Failure and the Associated Grain-Scale Mechanical Behavior of Granular Soils under Shear using Synchrotron X-Ray Micro-Tomography

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Validation of image stream hashing: A forensic method for content verification.

Gregory S Wales¹

¹National Center for Media Forensics, University of Colorado Denver, Denver, Colorado, USA.

Journal of Forensic Sciences

|December 2, 2023

Summary

Forensic examiners can verify digital image integrity during transcoding using an image stream hashing method. Implementing proposed standard controls significantly reduces errors, ensuring reliable content verification in forensic science.

Keywords:

FFmpeg altered image stream image stream hashing stream integrity transcoding

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Area of Science:

Digital Forensics
Multimedia Analysis
Information Security

Background:

Forensic best practices mandate preserving digital image integrity during transcoding.
Existing methods lack robust validation for detecting alterations in image streams.

Purpose of the Study:

To validate an image stream hashing method for forensic image analysis.
To identify and address limitations of the image stream hashing method.

Main Methods:

Experimental testing of the image stream hashing method across five file types.
Analysis of systematic errors to determine causation.
Development and implementation of standard controls to mitigate identified limitations.

Main Results:

Initial tests revealed significant error rates, limiting method applicability to three of five file types.
Error causation analysis identified four key method limitations.
Implementing proposed standard controls reduced systematic errors to a negligible level.

Conclusions:

The image stream hashing method is viable for forensic content verification.
Effective use requires implementing proposed standard controls for error mitigation.
Standardized controls are crucial for maintaining data integrity in digital forensics.