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An Intelligent Deep Learning Framework for Real-Time Detection and Classification of Deepfake Videos

Shalini Ranjan1 Pallavi C2 Deepika M3 Chaitra4
1Assistant Professor, Computer Science and Design, Dayananda Sagar Academy of Technology & Management, Bengaluru, Karnataka, India. 234 Students, 4th Year, B.E Computer Science and Design Dayananda Sagar Academy of Technology & Management, Bengaluru, Karnataka, India.

Published Online: January-April 2025

Pages: 180-187

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References

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Conference on Advances in Computing, Communication Control and Networking (ICAC3N), IEEE,pp.854–860.
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Artificial Intelligence; Generative Adversarial Networks}
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learning; Ensemble models}
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(GlobConET), pp. 1–6. https://doi.org/10.1109/GlobConET56651.2023.10150143. Keywords: {Deep Learning; Deep Fake; Video
Recognition; YOLO; Fake Detection; CNN; LSTM}
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Digital Home (ICDH), IEEE, pp. 251–256. https://doi.org/10.1109/ICDH57206.2022.00046.Keywords: {Deepfake; Detection; Face Edge;
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Conference on Electronics and Sustainable Communication Systems (ICESC-2021), IEEE, pp. 1110–1114.
https://doi.org/10.1109/ICESC51422.2021.9532725.Keywords: {Blockchain; Deepfake Video; Fake Video; Fake Video Detection System;
Video Authentication; Video Integrity; Video Tampering}
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on Intelligent Communication Technologies and Virtual Mobile Networks (ICICV), IEEE, pp. 405–409.
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Security}
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Uniformity. 6th International Conference on Signal Processing, Computing and Control (ISPCC), IEEE, pp. 379–384.
https://doi.org/10.1109/ISPCC53510.2021.9609424.Keywords: {Deepfake; PRNU; STCN; Deep Learning; Forgery Detection}
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on Signal Processing, Computing and Control (ISPCC), IEEE, pp. 367–371.
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Convolutional Neural Networks}

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