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ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:IJSREM47455

Fake Image Detection Using Machine Learning

Stream/Area:

-

Subject:

-

Paper ID:

IJSREM47455

Volume:

9 |

5 |

May 2025

Pages:

Publication Frequency:

Monthly (12 issues per year)

DOI
Digital Object Identifier
10.55041/IJSREM47455

License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.

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Authors

.AKKN

. Anil Kumar K N

SKS

Sinchana K S

SDY

Sparsha D Y

YBN

Yashaswini B N

SHP

Sindhu H P

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Abstract

Design and implement a deepfake detection system capable of distinguishing authentic images from deepfake images that involve facial manipulation. This system should identify manipulated faces, thereby mitigating the harmful effects of deepfake technology. With the rapid advancement of image editing tools and generative technologies like deepfakes, the spread of manipulated or fake images has become a serious concern in areas ranging from social media to national security. Traditional methods of image verification are often inadequate due to the sophistication of modern forgeries.

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Cite This Article

. Anil Kumar K N, Sinchana K S, Sparsha D Y, Yashaswini B N, Sindhu H P, "Fake Image Detection Using Machine Learning," International Journal of Scientific Research in Engineering and Management, vol. 9, no. 5, May 2025. https://doi.org/10.55041/IJSREM47455

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Publication Date

12/4/2025

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Double-Blind Peer Review

Review Rounds: 2

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1

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The authors declare no conflict of interest related to this research work.

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