Deep Learning Based Deepfake Video Detection System
Abhishek Jha, Aman Kumar Yadav, Aman Kumar Dubey, Akash S. Kumar, Ashish Kumar Sharma · 2025
Deepfake technology involves the tampering or creation of synthetic media, the technology can be highly effective in undermining trust in digital content because it exploits developments in machine learning. A new algorithm is proposed with a hybrid deepfake detection framework that integrates CNNs and RNNs with the functionalities of spatial and temporal inconsistency detection. The proposed method, using FaceForensics++ and the Deepfake Detection Challenge (DFDC), comes with a detection accuracy of 92.5%. The study addresses challenges including bias in the dataset and computational efficiency as well as model generalization. The study contributes to applications in security, content verification, and real-time monitoring on social platforms.