Deepfakes pose a serious threat to media authenticity and public trust. This paper proposes a hybrid deep learning model combining ResNeXt and LSTM to detect deepfakes by capturing both spatial and temporal inconsistencies. ResNeXt extracts detailed frame-level features, while LSTM models temporal dependencies across video frames. Evaluated on benchmark datasets such as DFDC and Celeb-DF, the model achieves high accuracy and robust performance. The results confirm that integrating spatial and temporal features significantly improves deepfake detection, offering a reliable approach for video-based forensic analysis.
| Mualliflar | primbetov, abbaz, Maxmudjanov, Sarvar, Naimov , Axadjon |
|---|---|
| Jurnal | Al-Farg'oniy avlodlari |
| Nashriyot | ТАТУ Фарғона филиали |
| ISSN | 2181-4252 |
| Nashr sanasi | 2025-06-03 |
| Son | 2 |
| Betlar | 87-94 |
| Til | Ingliz |
| Ilmiy soha | Texnika |
| Indeksga qo‘shilgan | 2026-08-26 |
Resnext, LSTM, Deepfake.
| APA | primbetov, abbaz, Maxmudjanov, Sarvar, & Naimov , Axadjon (2025). DEEPFAKE DETECTION USING A HYBRID RESNEXT AND LSTM ARCHITECTURE. Al-Farg'oniy avlodlari, (2), 87-94. https://al-fargoniy.uz/index.php/journal/article/view/835 |
|---|---|
| GOST (OAK) | primbetov, abbaz, Maxmudjanov, Sarvar, Naimov , Axadjon DEEPFAKE DETECTION USING A HYBRID RESNEXT AND LSTM ARCHITECTURE // Al-Farg'oniy avlodlari. – 2025. – № 2. – P. 87-94. |
| MLA | primbetov, abbaz, Maxmudjanov, Sarvar, and Naimov , Axadjon. “DEEPFAKE DETECTION USING A HYBRID RESNEXT AND LSTM ARCHITECTURE.” Al-Farg'oniy avlodlari, (2), 87-94, 2025. https://al-fargoniy.uz/index.php/journal/article/view/835 |
| Chicago | primbetov, abbaz, Maxmudjanov, Sarvar, and Naimov , Axadjon. “DEEPFAKE DETECTION USING A HYBRID RESNEXT AND LSTM ARCHITECTURE.” Al-Farg'oniy avlodlari, (2), 87-94 (2025). https://al-fargoniy.uz/index.php/journal/article/view/835 |
| Harvard | primbetov, abbaz, Maxmudjanov, Sarvar, and Naimov , Axadjon (2025) ‘DEEPFAKE DETECTION USING A HYBRID RESNEXT AND LSTM ARCHITECTURE’, Al-Farg'oniy avlodlari, (2), 87-94. https://al-fargoniy.uz/index.php/journal/article/view/835 |
| BibTeX | @article{primbetovabbaz2025,
title = {DEEPFAKE DETECTION USING A HYBRID RESNEXT AND LSTM ARCHITECTURE},
author = {primbetov, abbaz and Maxmudjanov, Sarvar and Naimov , Axadjon},
journal = {Al-Farg'oniy avlodlari},
year = {2025},
number = {2},
pages = {87-94},
url = {https://al-fargoniy.uz/index.php/journal/article/view/835}
} |
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