Deepfake Detection Based on Temporal Analysis of Facial Dynamics Using LSTM and ResNeXt Architectures

https://doi.org/10.55529/jipirs.43.47.54

Authors

  • Mr. A. V. Srinivas Assistant Professor, Department of Information Technology, Vishnu Institute of Technology, Andhra Pradesh, India.
  • Manikanta Swamy Angara Assistant Professor, Department of Information Technology, Vishnu Institute of Technology, Andhra Pradesh, India.
  • Snehitha Chamarthi Assistant Professor, Department of Information Technology, Vishnu Institute of Technology, Andhra Pradesh, India.
  • Sanjeevi Kumar Guptha Gangisetti Assistant Professor, Department of Information Technology, Vishnu Institute of Technology, Andhra Pradesh, India.
  • V. S. Naga Sai Pavan Rahul Lingala Assistant Professor, Department of Information Technology, Vishnu Institute of Technology, Andhra Pradesh, India.

Keywords:

Deepfake Detection, LSTM (Long Short-Term Memory), Image Manipulation, Facial Recognition, Cybersecurity, Digital Forensics.

Abstract

The proliferation of deepfake technology presents a critical challenge to the authenticity and trustworthiness of digital media. To address this issue, we propose an innovative deepfake detection framework that combines the power of Long Short-Term Memory (LSTM) and ResNeXt architectures. By integrating spatial and temporal analysis methods, our approach aims to accurately identify manipulated videos amidst the vast sea of online content. Through rigorous experimentation and evaluation using diverse datasets, our framework demonstrates promising results in effectively distinguishing between genuine and fake videos. This research contributes to the ongoing efforts to combat deepfake misinformation and uphold the integrity of digital media platforms.

Published

2024-04-01

How to Cite

Mr. A. V. Srinivas, Manikanta Swamy Angara, Snehitha Chamarthi, Sanjeevi Kumar Guptha Gangisetti, & V. S. Naga Sai Pavan Rahul Lingala. (2024). Deepfake Detection Based on Temporal Analysis of Facial Dynamics Using LSTM and ResNeXt Architectures . Journal of Image Processing and Intelligent Remote Sensing, 4(03), 47–54. https://doi.org/10.55529/jipirs.43.47.54

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