Detection of AI Deepfake and Fraud in Online Payments Using GAN-Based Models

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This study explores the use of Generative Adversarial Networks (GANs) to detect AI deepfakes and fraudulent activities in online payment systems.

• With the growing prevalence of deepfake technology, which can manipulate facial features in images and videos, the potential for fraud in online transactions has escalated.
• Traditional security systems struggle to identify these sophisticated forms of fraud.
• This research proposes a novel GAN-based model that enhances online payment security by identifying subtle manipulations in payment images.