What question did this study set out to answer?

The research aims to develop a secure system for detecting deepfakes using convolutional neural networks.

March 26, 2026INTERNATIONAL JOURNAL OF RESEARCH AND ANALYTICAL REVIEWS0 citationsOpen Access

Deepfake Detection Using Convolutional Neural Networks: A Secure Media Authentication System

CTChinna Siva Krishna Thota SDSarika Dasari

Key Points

The research aims to develop a secure system for detecting deepfakes using convolutional neural networks.
Utilized convolutional neural networks for image analysis
Developed algorithms for deepfake detection
Employed a data-driven approach for training the model
Achieved high accuracy in distinguishing between real and manipulated images
Demonstrated the effectiveness of the model in real-time detection
Showed a significant reduction in false positives during testing

Abstract

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