Campus Director, National Forensic Sciences University, Dharwad Campus, Karnataka 580011, India
Research Article
Deepfake Video Detection Using Lip Region Analysis with Advanced Artificial Intelligence Based Anomaly Detection Technique
Author(s): Yashas Hariprasad*, Sundararaja Sitharama Iyengar and Manjunath Ghate
The proliferation of internet usage has led to an increase in deepfake attacks, posing significant threats to privacy and data security. Existing
detection systems are continually challenged by increasingly sophisticated deepfake techniques. In this paper, we propose a novel method
for detecting deepfake anomalies by focusing on the lip region of human faces in videos. This area is often subtle and difficult for humans to
scrutinize. Our approach integrates the Minimum Covariance Determinant (MCD) Estimator with the SHA-256 hashing algorithm and RAID
technology to identify even the slightest deepfake activities. By employing the Lip Shaping Technique, we evaluate the effectiveness of our
method. Experimental results demonstrate the proposed method’s promising performance and its significant impact on frame processing speed
due to the incorporation of opti.. Read More»
DOI:
10.37421/2157-7145.2024.15.626
Journal of Forensic Research received 1817 citations as per Google Scholar report