Paper Title
A Deepfake Face Mask Dataset for Infectious Disease Era With Deepfake Detection Algorithms in Realtime
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Authors
Neha fazal C K , Sahila Noora Ibrahim , Fathimathul Shibiliya KK , Muhammed Sadhef PM , Jithika M
Keywords
Abstract
Deepfake videos in today’s digital era has raised serious concerns about their potential to compromise the credibility of visual media, making them a significant threat. The increasing computational power of deep learning algorithms has made it easy to create realistic human-synthesized videos or deep fakes. These videos can be used to spread disinformation and cause political distress. To combat this issue, a new deep learningbased technique has been developed to differentiate AI-generated fake videos from genuine ones. The proposed method fine-tunes the transfomer module to search for new sets of feature space to detect fake images using Attention-based networks (Res-Next CNN) a type of deep learning architecture that can selectively focus on important features in a video. This technique involves the training to identify the most relevant parts of a video and then using these features to detect manipulations. TI1c proposed research proposes a Deepfake Face Mask Dataset (DFFMD) based on a novel lnception-RcsNct-v2 with preprocessing stages, feature-based, residual connection, and batch normalization. Unlike the conventional approaches, the combination of these steps improves the accuracy of deepfake video identification in the presence of facemasks. This System Propose Realtime detection of deepfake videos.
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How To Cite (APA)
Neha fazal C K, Sahila Noora Ibrahim, Fathimathul Shibiliya KK, Muhammed Sadhef PM, & Jithika M (June-2024). A Deepfake Face Mask Dataset for Infectious Disease Era With Deepfake Detection Algorithms in Realtime. INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT, 9(6), e507-e513. https://ijnrd.org/papers/IJNRD2406449.pdf
Issue
Volume 9 Issue 6, June-2024
Pages : e507-e513
Other Publication Details
Paper Reg. ID: IJNRD_220022
Published Paper Id: IJNRD2406449
Downloads: 000121985
Research Area: Engineering
Country: Kannur, kerala, India
Published Paper PDF: https://ijnrd.org/papers/IJNRD2406449.pdf
Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2406449
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This work is licensed under a Creative Commons Attribution 4.0 International License and The Open Definition


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