Synthesized Media Authentication: A Convolutional Neural Network and  Digital Forensics Framework for Robust Deepfake Detection

Anem Geethanjali ,Dr. G.V. Ramesh Babu

Synthesized Media Authentication: A Convolutional Neural Network and Digital Forensics Framework for Robust Deepfake Detection

Authors

Anem Geethanjali ,Dr. G.V. Ramesh Babu

Keywords:

Deepfake Detection, Convolutional Neural Network (CNN), TensorFlow, Image Forensics, Digital Media Security

Abstract

The rapid advancement of artificial intelligence and deep learning technologies has led to the widespreadcreation of deepfake images that can realistically manipulate facial features and visual content. While these synthetic images offer benefits in entertainment and media production

References

Yao, Q. Application of Artificial Intelligence Virtual Image Technology in Photography Art Creation under Deep Learning. IEEE Access 2025, 10, 101 110. [Google Scholar] [CrossRef]

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Published

2026-06-14

How to Cite

Anem Geethanjali ,Dr. G.V. Ramesh Babu. (2026). Synthesized Media Authentication: A Convolutional Neural Network and Digital Forensics Framework for Robust Deepfake Detection. Journal of Computational Analysis and Applications (JoCAAA), 35(6), 1–9. Retrieved from https://www.eudoxuspress.com/index.php/pub/article/view/5562