A COMPUTATIONAL SYSTEM FOR EVALUATING HUMAN PERCEPTION IN VIDEO STEGANOGRAPHY
This paper presents a comprehensive computational system designed to evaluate the undetectability of video steganography from human perspective. The system assesses the perceptibility of steganographic modifications to the human eye while simultaneously determining the minimum encoding level require...
Saved in:
| Main Authors: | , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Polish Association for Knowledge Promotion
2024-12-01
|
| Series: | Applied Computer Science |
| Subjects: | |
| Online Access: | https://ph.pollub.pl/index.php/acs/article/view/6839 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1841552792634785792 |
|---|---|
| author | Marcin PERY Robert WASZKOWSKI |
| author_facet | Marcin PERY Robert WASZKOWSKI |
| author_sort | Marcin PERY |
| collection | DOAJ |
| description | This paper presents a comprehensive computational system designed to evaluate the undetectability of video steganography from human perspective. The system assesses the perceptibility of steganographic modifications to the human eye while simultaneously determining the minimum encoding level required for successful automated decoding of hidden messages. The proposed architecture comprises four subsystems: steganogram database preparation, human evaluation, automated decoding, and comparative analysis. The system was tested using example steganographic techniques applied to a dataset of video files. Experimental results revealed the thresholds of human-level undetectability and automated decoding for each technique, enabling the identification of critical differences between human and algorithmic detection capabilities. This research contributes to the field of steganography by offering a novel framework for evaluating the trade-offs between human perception and automated decoding in video-based information hiding. The system serves as a tool for advancing the development of more secure and reliable video steganographic techniques.
|
| format | Article |
| id | doaj-art-0db4c2b7514e40f98e149fcc7e7ff67b |
| institution | Kabale University |
| issn | 2353-6977 |
| language | English |
| publishDate | 2024-12-01 |
| publisher | Polish Association for Knowledge Promotion |
| record_format | Article |
| series | Applied Computer Science |
| spelling | doaj-art-0db4c2b7514e40f98e149fcc7e7ff67b2025-01-09T12:44:44ZengPolish Association for Knowledge PromotionApplied Computer Science2353-69772024-12-0120410.35784/acs-2024-40A COMPUTATIONAL SYSTEM FOR EVALUATING HUMAN PERCEPTION IN VIDEO STEGANOGRAPHYMarcin PERY0https://orcid.org/0009-0005-1272-2048Robert WASZKOWSKI1https://orcid.org/0000-0002-0170-227XMilitary University of TechnologyMilitary University of TechnologyThis paper presents a comprehensive computational system designed to evaluate the undetectability of video steganography from human perspective. The system assesses the perceptibility of steganographic modifications to the human eye while simultaneously determining the minimum encoding level required for successful automated decoding of hidden messages. The proposed architecture comprises four subsystems: steganogram database preparation, human evaluation, automated decoding, and comparative analysis. The system was tested using example steganographic techniques applied to a dataset of video files. Experimental results revealed the thresholds of human-level undetectability and automated decoding for each technique, enabling the identification of critical differences between human and algorithmic detection capabilities. This research contributes to the field of steganography by offering a novel framework for evaluating the trade-offs between human perception and automated decoding in video-based information hiding. The system serves as a tool for advancing the development of more secure and reliable video steganographic techniques. https://ph.pollub.pl/index.php/acs/article/view/6839steganography video steganography human perception undetectability information hiding |
| spellingShingle | Marcin PERY Robert WASZKOWSKI A COMPUTATIONAL SYSTEM FOR EVALUATING HUMAN PERCEPTION IN VIDEO STEGANOGRAPHY Applied Computer Science steganography video steganography human perception undetectability information hiding |
| title | A COMPUTATIONAL SYSTEM FOR EVALUATING HUMAN PERCEPTION IN VIDEO STEGANOGRAPHY |
| title_full | A COMPUTATIONAL SYSTEM FOR EVALUATING HUMAN PERCEPTION IN VIDEO STEGANOGRAPHY |
| title_fullStr | A COMPUTATIONAL SYSTEM FOR EVALUATING HUMAN PERCEPTION IN VIDEO STEGANOGRAPHY |
| title_full_unstemmed | A COMPUTATIONAL SYSTEM FOR EVALUATING HUMAN PERCEPTION IN VIDEO STEGANOGRAPHY |
| title_short | A COMPUTATIONAL SYSTEM FOR EVALUATING HUMAN PERCEPTION IN VIDEO STEGANOGRAPHY |
| title_sort | computational system for evaluating human perception in video steganography |
| topic | steganography video steganography human perception undetectability information hiding |
| url | https://ph.pollub.pl/index.php/acs/article/view/6839 |
| work_keys_str_mv | AT marcinpery acomputationalsystemforevaluatinghumanperceptioninvideosteganography AT robertwaszkowski acomputationalsystemforevaluatinghumanperceptioninvideosteganography AT marcinpery computationalsystemforevaluatinghumanperceptioninvideosteganography AT robertwaszkowski computationalsystemforevaluatinghumanperceptioninvideosteganography |