Stegan detection method for latent images for intellectual property protection systems
Objective. Improving the quality of detection and stego-detection of latent images embedded in the protected object of intellectual property by various methods. Method. The method for stego-detection of latent images based on deep learning is proposed. The method is based on the use of the VGG16 con...
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| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | Russian |
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Dagestan State Technical University
2023-02-01
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| Series: | Вестник Дагестанского государственного технического университета: Технические науки |
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| Online Access: | https://vestnik.dgtu.ru/jour/article/view/1185 |
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| _version_ | 1849691408943808512 |
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| author | F. B. Tebueva M. G. Ogur I. V. Mandritsa A. B. Chernyshev G. I. Linets V. P. Mochalov |
| author_facet | F. B. Tebueva M. G. Ogur I. V. Mandritsa A. B. Chernyshev G. I. Linets V. P. Mochalov |
| author_sort | F. B. Tebueva |
| collection | DOAJ |
| description | Objective. Improving the quality of detection and stego-detection of latent images embedded in the protected object of intellectual property by various methods. Method. The method for stego-detection of latent images based on deep learning is proposed. The method is based on the use of the VGG16 convolutional neural network model, in which the architecture and training parameters are optimized. Result. Increasing the accuracy of detecting stegocontainer images by 3.8%, as well as the possibility of using the algorithm of the developed method for images with a higher resolution than the dimension of the input of an artificial neural network. Conclusion. The developed method is intended for stegan detection in two cases: to detect the fact of illegal use of intellectual property objects; for use in computer forensics when identifying images containing hidden and prohibited information. |
| format | Article |
| id | doaj-art-bb13f2175ff84075ad48641d4091e616 |
| institution | DOAJ |
| issn | 2073-6185 2542-095X |
| language | Russian |
| publishDate | 2023-02-01 |
| publisher | Dagestan State Technical University |
| record_format | Article |
| series | Вестник Дагестанского государственного технического университета: Технические науки |
| spelling | doaj-art-bb13f2175ff84075ad48641d4091e6162025-08-20T03:21:02ZrusDagestan State Technical UniversityВестник Дагестанского государственного технического университета: Технические науки2073-61852542-095X2023-02-0149411312510.21822/2073-6185-2022-49-4-113-125743Stegan detection method for latent images for intellectual property protection systemsF. B. Tebueva0M. G. Ogur1I. V. Mandritsa2A. B. Chernyshev3G. I. Linets4V. P. Mochalov5Северо-Кавказский федеральный университетСеверо-Кавказский федеральный университетСеверо-Кавказский федеральный университетСеверо-Кавказский федеральный университетСеверо-Кавказский федеральный университетСеверо-Кавказский федеральный университетObjective. Improving the quality of detection and stego-detection of latent images embedded in the protected object of intellectual property by various methods. Method. The method for stego-detection of latent images based on deep learning is proposed. The method is based on the use of the VGG16 convolutional neural network model, in which the architecture and training parameters are optimized. Result. Increasing the accuracy of detecting stegocontainer images by 3.8%, as well as the possibility of using the algorithm of the developed method for images with a higher resolution than the dimension of the input of an artificial neural network. Conclusion. The developed method is intended for stegan detection in two cases: to detect the fact of illegal use of intellectual property objects; for use in computer forensics when identifying images containing hidden and prohibited information.https://vestnik.dgtu.ru/jour/article/view/1185hidden image stegan detectiondeep learningartificial neural network |
| spellingShingle | F. B. Tebueva M. G. Ogur I. V. Mandritsa A. B. Chernyshev G. I. Linets V. P. Mochalov Stegan detection method for latent images for intellectual property protection systems Вестник Дагестанского государственного технического университета: Технические науки hidden image stegan detection deep learning artificial neural network |
| title | Stegan detection method for latent images for intellectual property protection systems |
| title_full | Stegan detection method for latent images for intellectual property protection systems |
| title_fullStr | Stegan detection method for latent images for intellectual property protection systems |
| title_full_unstemmed | Stegan detection method for latent images for intellectual property protection systems |
| title_short | Stegan detection method for latent images for intellectual property protection systems |
| title_sort | stegan detection method for latent images for intellectual property protection systems |
| topic | hidden image stegan detection deep learning artificial neural network |
| url | https://vestnik.dgtu.ru/jour/article/view/1185 |
| work_keys_str_mv | AT fbtebueva stegandetectionmethodforlatentimagesforintellectualpropertyprotectionsystems AT mgogur stegandetectionmethodforlatentimagesforintellectualpropertyprotectionsystems AT ivmandritsa stegandetectionmethodforlatentimagesforintellectualpropertyprotectionsystems AT abchernyshev stegandetectionmethodforlatentimagesforintellectualpropertyprotectionsystems AT gilinets stegandetectionmethodforlatentimagesforintellectualpropertyprotectionsystems AT vpmochalov stegandetectionmethodforlatentimagesforintellectualpropertyprotectionsystems |