International Journal of Innovative Research in Computer and Communication Engineering
ISSN Approved Journal | Impact factor: 8.771 | ESTD: 2013 | Follows UGC CARE Journal Norms and Guidelines
| Monthly, Peer-Reviewed, Refereed, Scholarly, Multidisciplinary and Open Access Journal | High Impact Factor 8.771 (Calculated by Google Scholar and Semantic Scholar | AI-Powered Research Tool | Indexing in all Major Database & Metadata, Citation Generator | Digital Object Identifier (DOI) |
| TITLE | Deepfake Video Detection Using ResNet-Based Feature Extraction and Temporal Modeling |
|---|---|
| ABSTRACT | Continuous progress in AI-based media generation has transformed deepfake videos into a mounting threat against the integrity of digital information. Synthetic video content crafted via generative adversarial networks and associated neural architectures has achieved a degree of visual realism that renders manual inspection unreliable as a standalone verification strategy. The societal risks extend from harm to individual reputations to coordinated disinformation campaigns operating at unprecedented scale. In response to these concerns, this paper introduces a detection framework that merges convolutional neural network (CNN) based spatial feature analysis with recurrent neural network (RNN) based temporal reasoning, equipping the system to identify manipulation evidence both at the individual frame level and across sequential video segments. The resulting tool is engineered to serve practical deployment needs within cybersecurity operations and fact-verification environments where scalable content authenticity assessment is required. |
| AUTHOR | ASHA N S, RENUKA HS, RAMYA S PATIL, VARSHA P, TEJASHWINI B KUMBAR Assistant Professor, Department of Information Science and Engineering, Jain Institute of Technology, Davanagere, Karnataka, India UG Student, Department of Information Science and Engineering, Jain Institute of Technology, Davanagere, Karnataka, India |
| VOLUME | 184 |
| DOI | DOI: 10.15680/IJIRCCE.2026.1405072 |
| pdf/72_Deepfake Video Detection Using ResNet-Based Feature Extraction and Temporal Modeling.pdf | |
| KEYWORDS | |
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