Paper Contents
Abstract
We have seen an rapid increase in the Artificial Intelligence (AI) and Deepfake, due to that it has become very easy for online scams and frauds. It is good but when its in correct hands but they are misused in voice cloning, fake video impression, fraud message it has became a serious cybersecurity concern. This paper reviews different deepfake and AI-driven scams and examines the detection and protection methods. While the precautions are taken to keep the user safe from all scams they still face challenges. The paper focuses on the need of improved solutions along with the awareness measures. There are existing methods show results but struggles with advance deepfakes. Through all the complaints and reviews its seen there should be double verification or multi-layer security to secure the user.The study is mainly focused on analyzing how deepfakes are created using Generative Adversarial Networks (GANs) and previously published papers and reports. The current finding has shown that there is face limitation in identifying the advanced deepfakes. And to tackle this issue this paper highlights the need for combined approach to improve AI-based detection ,system review , user awareness to reduce scams an increase the security of the device and realism.
Copyright
Copyright © 2025 Siddhi Ekawada, Apurva Jate, Arya Kamble, Sharvari Kate, Prof. Tejal Panmand. This is an open access article distributed under the Creative Commons Attribution License.
