Deepfake Challenges in India: Real-Time Scenarios and Impact

Deepfake technology powered by Generative Adversarial Networks (GANs) has raised significantconcerns because of its ability to create highly realistic but fraudulent digital content, including videos,images, and audio. While initially used for entertainment purposes, deepfakes are now being exploited formalicious activities, such as fake celebrity endorsements, political propaganda, corporate espionage, andidentity theft. This study examines various real-time scenarios in India where deepfakes are used forharmful purposes, ranking their potential impact on individuals, businesses, and national security. It alsoexplores common prevention mechanisms, mitigation strategies, and challenges in addressing the threatsposed by deepfake technology. Effective countermeasures, such as AI-based detection systems, multifactor authentication, and secure communication channels, are essential for minimizing risks.Furthermore, international collaboration and legal action are crucial for tackling evolving threats. Thewidespread use of deepfake technology necessitates continuous innovation and public awareness tosafeguard against its misuse.

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-04-14
DOI
https://doi.org/10.5281/zenodo.15214953
Primary Topic
Generative Adversarial Networks and Image Synthesis
Type
article
Field-Weighted Citation Impact
0.00
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article

Deepfake Challenges in India: Real-Time Scenarios and Impact

Zenodo (CERN European Organization for Nuclear Research)
Generative Adversarial Networks and Image Synthesis
article

Deepfake Challenges in India: Real-Time Scenarios and Impact

article en

Abstract

Deepfake technology powered by Generative Adversarial Networks (GANs) has raised significantconcerns because of its ability to create highly realistic but fraudulent digital content, including videos,images, and audio. While initially used for entertainment purposes, deepfakes are now being exploited formalicious activities, such as fake celebrity endorsements, political propaganda, corporate espionage, andidentity theft. This study examines various real-time scenarios in India where deepfakes are used forharmful purposes, ranking their potential impact on individuals, businesses, and national security. It alsoexplores common prevention mechanisms, mitigation strategies, and challenges in addressing the threatsposed by deepfake technology. Effective countermeasures, such as AI-based detection systems, multifactor authentication, and secure communication channels, are essential for minimizing risks.Furthermore, international collaboration and legal action are crucial for tackling evolving threats. Thewidespread use of deepfake technology necessitates continuous innovation and public awareness tosafeguard against its misuse.

Zenodo (CERN European Organization for Nuclear Research)
Industry, innovation and infrastructure
Openalex Percentile: Top 56%
Generative Adversarial Networks and Image Synthesis
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Deepfake Challenges in India: Real-Time Scenarios and Impact · Zenodo (CERN European Organization for Nuclear Research) (2025) | TGRS Research Map | TGRS