Paper Title

A Deepfake Face Mask Dataset for Infectious Disease Era With Deepfake Detection Algorithms in Realtime

Article Identifiers

Registration ID: IJNRD_220022

Published ID: IJNRD2406449

DOI: Click Here to Get

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.

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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Journal Name: INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT(IJNRD)

ISSN: 2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar | ESTD YEAR: 2016

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Call For Paper - Volume 10 | Issue 10 | October 2025

IJNRD is a Scholarly Open Access, Peer-reviewed, and Refereed Journal with a High Impact Factor of 8.76 (calculated by Google Scholar & Semantic Scholar | AI-Powered Research Tool). It is a Multidisciplinary, Monthly, Low-Cost Journal that follows UGC CARE 2025 Peer-Reviewed Journal Policy norms, Scopus journal standards, and Transparent Peer Review practices to ensure quality and credibility. IJNRD provides indexing in all major databases & metadata repositories, a citation generator, and Digital Object Identifier (DOI) for every published article with full open-access visibility.

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Paper Submission Open For: October 2025

Current Issue: Volume 10 | Issue 10 | October 2025

Impact Factor: 8.76

Last Date for Paper Submission: Till 31-Oct-2025

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