The Evolution of Deepfake Technology:Methods, Applications, Threats, and Detection Techniques

Authors

  • Mrs. Snehal Patil, Lakhan Pancholi, Shubham Baraskar, Vikash Rathod, Yash Ragundwar D.Y. Patil Institute of Master of Computer Applications and Management, Akurdi, Pune. Author

DOI:

https://doi.org/10.70849/IJSCI

Keywords:

Deepfake technology, Generative Adversarial Networks (GANs), synthetic media, face swapping, deep learning, misinformation, disinformation, political manipulation, identity theft, biometric security, emotional behavior analysis, hybrid detection models

Abstract

With the rapid rise of artificial intelligence, deepfake technology has evolved from basic face-swapping tools to advanced generative models like GANs, capable of producing highly realistic synthetic media.Deepfakes are now used in areas like entertainment, education, accessibility, and digital marketing, showing their creative potential.At the same time, they pose serious risks including political misinformation, identity misuse, and threats to public trust and security. 
Many detection techniques have been proposed over time, focusing mainly on technical artifacts such as pixel flaws, blinking patterns, and audio mismatches. 
This work explores these approaches while identifying a key gap: deepfakes often fail to replicate natural emotional flow across the face. Based on this insight, a hybrid detection method is proposed, combining technical flaw detection with emotional behavior analysis to build a more human-aware and reliable deepfake detection strategy. 

 

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Published

06-10-2025

Issue

Vol. 2 No. 10 (2025): IJSCI VOLUME-02 ISSUE-10 OCTOBER 2025

Section

Articles

License

Creative Commons License

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.

How to Cite

[1]
Mrs. Snehal Patil, Lakhan Pancholi, Shubham Baraskar, Vikash Rathod, Yash Ragundwar, “The Evolution of Deepfake Technology:Methods, Applications, Threats, and Detection Techniques”, Int. J. Sci. Inno. Eng., vol. 2, no. 10, pp. 144–151, Oct. 2025, doi: 10.70849/IJSCI.