Verification of video content authenticity and integrity using artificial intelligence

Skladannyi, Pavlo та Kostiuk, Yuliia та Hnatchenko, Dmytro та Goncharenko, Igor та Platonenko, Artem (2026) Verification of video content authenticity and integrity using artificial intelligence Cybersecurity Providing in Information and Telecommunication Systems, 4271. с. 21-45. ISSN 1613-0073

Текст P_Skladaniy_Y_Kostyuk_D_Hnatchenko_I_Honcharenko_A_Platonenko_CPITS_2026_FITM.pdf Download (2MB)

Анотація

This article addresses the problem of ensuring the authenticity and integrity of video content in the context of the proliferation of DeepFake attacks and video data modifications. An intelligent approach is proposed that combines deep learning, digital watermarking, and explainable artificial intelligence (XAI) methods for real-time verification of video streams. The developed architecture utilizes convolutional neural networks (CNNs), autoencoders, as well as SHAP (Shapley Additive Explanations) and LIME (Local Interpretable Model-Agnostic Explanations) modules to explain the decisions made. The effectiveness of the approach was tested on open video datasets. The results demonstrated high accuracy in detecting forgeries while preserving visual quality, as assessed by the PSNR (Peak Signal-to-Noise Ratio) and SSIM (Structural Similarity Index Measure) metrics, and the model’s suitability for use in digital security, video surveillance, and digital forensics systems. The proposed model enhances the reliability of video analytics in security systems by providing comprehensive authenticity verification and integrity control of video data using artificial intelligence methods.

Тип елементу :	Стаття
Ключові слова:	video content authenticity; integrity control; artificial intelligence; deep learning; digital watermarks; explainable artificial intelligence; DeepFake; video forgery detection; digital security; video surveillance; digital forensics. Or simply: video content authenticity; artificial intelligence; deep learning; digital watermarks; XAI; DeepFake; video forgeries; digital security; digital forensics
Типологія:	Статті у базах даних > Scopus (без квартилю)
Підрозділи:	Факультет інформаційних технологій та математики > Кафедра інформаційної та кібернетичної безпеки ім. професора Володимира Бурячка
Користувач, що депонує:	Павло Миколайович Складанний
Дата внесення:	03 Лист 2026 22:04
Останні зміни:	03 Лист 2026 22:04
URI:	https://elibrary.kubg.edu.ua/id/eprint/60043

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