UGC Approved Journal no 63975(19)

ISSN: 2349-5162 | ESTD Year : 2014
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Volume 11 | Issue 5 | May 2024

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Published in:

Volume 11 Issue 4
April-2024
eISSN: 2349-5162

UGC and ISSN approved 7.95 impact factor UGC Approved Journal no 63975

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Published Paper ID:
JETIR2404067


Registration ID:
535934

Page Number

a525-a531

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Title

Unmasking The Digital Illusions Through Deepfakes Detection System

Abstract

In this paper, a detection system for deepfakes in images, videos and audios has been developed. Throughout the year since deepfake has become a problem, there have been numerous attempts to develop detection systems to get a great accuracy, but still there has not been much progress. Whenever a deepfake detection system is created, a better deepfake processor comes into existence. The main motive is to go through already existing Deepfakes detection system and also anything remotely related to detection of Fake images, videos, audios and one altogether and try to enhance the detection systems. There are multiple strategies that have been used[17] to detect Deepfakes but they do not provide much accuracy due to multiple reasons. Researches have been done to detect such videos or images through image segmentation, audio enhancement, continuous learning models, and what not. Combining multiple features from multiple paper is the goal eventually to get the most accurate result, but even if there is a combination of multiple best features from various papers, it is not sure that all the features processing together will give the best efficiency. There have been researches before to make the best detection system through the use of multiple methods but they have not been much of a success. Therefore, there is a need to make pairs and dedicate a whole study to come to the realization of methods which will provide best accuracy for detection when combined together with methods for various aspects of detection. This paper analyses various papers made in the same direction, and tries to create what will be better for the future of deepfakes detection.

Key Words

Deepfakes, Face tracking, Identity Leakage, Synthetic audio.

Cite This Article

"Unmasking The Digital Illusions Through Deepfakes Detection System", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.11, Issue 4, page no.a525-a531, April-2024, Available :http://www.jetir.org/papers/JETIR2404067.pdf

ISSN


2349-5162 | Impact Factor 7.95 Calculate by Google Scholar

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 7.95 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Cite This Article

"Unmasking The Digital Illusions Through Deepfakes Detection System", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.11, Issue 4, page no. ppa525-a531, April-2024, Available at : http://www.jetir.org/papers/JETIR2404067.pdf

Publication Details

Published Paper ID: JETIR2404067
Registration ID: 535934
Published In: Volume 11 | Issue 4 | Year April-2024
DOI (Digital Object Identifier):
Page No: a525-a531
Country: Nagpur, Maharashtra , India .
Area: Science & Technology
ISSN Number: 2349-5162
Publisher: IJ Publication


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