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International Journal for Research Trends and Innovation
International Peer Reviewed & Refereed Journals, Open Access Journal
ISSN Approved Journal No: 2456-3315 | Impact factor: 8.14 | ESTD Year: 2016
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Impact Factor : 8.14
Issue per Year : 12
Volume Published : 11
Issue Published : 118
Article Submitted : 21653
Article Published : 8541
Total Authors : 22459
Total Reviewer : 811
Total Countries : 159
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| Paper Title: | Deepfake Detection Using CNN-based Feature Analysis |
| Authors Name: | V. Devi Naga Charan , A. Sri Venkat , Y. Vishnu , G. Kranthi Kumar , E. Jyothsna |
| Download E-Certificate: | Download |
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IJRTI_205322
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| Published Paper Id: | IJRTI2507072 |
| Published In: | Volume 10 Issue 7, July-2025 |
| DOI: | |
| Abstract: | This paper proposes a convolutional neural network (CNN)-based method for detecting deepfake videos using frame-level spatial features. Using the combined dataset of UADFV (Keshri, 2024) and Celeb-DF v2 with data augmentation, we trained a custom CNN model that achieved 94.71% accuracy. This work highlights the potential of lightweight CNN models in academic deepfake research and discusses future extensions using transformer-based approaches. |
| Keywords: | Deepfake, CNN, Frame Extraction, Binary Classification, PyTorch, UADFV, and Celeb-DF v2 Dataset |
| Cite Article: | "Deepfake Detection Using CNN-based Feature Analysis", International Journal for Research Trends and Innovation (www.ijrti.org), ISSN:2455-2631, Vol.10, Issue 7, page no.a663-a666, July-2025, Available :http://www.ijrti.org/papers/IJRTI2507072.pdf |
| Downloads: | 000374 |
| ISSN: |
2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016 An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator |
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Published Paper ID: IJRTI2507072
Registration ID:205322
Published In: Volume 10 Issue 7, July-2025
DOI (Digital Object Identifier):
Page No: a663-a666 Country: Vijayawada, Andhra Pradesh, India Research Area: Computer Science & Technology Publisher : IJ Publication Published Paper URL : https://www.ijrti.org/viewpaperforall?paper=IJRTI2507072 Published Paper PDF: https://www.ijrti.org/papers/IJRTI2507072 |
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ISSN: 2456-3315
Impact Factor: 8.14 and ISSN APPROVED,
Journal Starting Year (ESTD) : 2016
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