International Journal of Innovative Research in Engineering & Multidisciplinary Physical Sciences
E-ISSN: 2349-7300Impact Factor - 9.907

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Call for Paper Volume 13 Issue 2 March-April 2025 Submit your research for publication

True vision - Forged Media Detection System

Authors: Omkar Deokar, Hemant Gite, Omkar Bire, Payal Borase, Prof. Shital Wagh

Country: India

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Abstract: The rapid advancement of digital media technologies has ushered in numerous benefits while simultaneously presenting significant challenges regarding the authenticity of visual content. One of the most pressing concerns is the emergence of deep fake technology, which employs artificial intelligence to create hyper-realistic videos that can manipulate reality. This capability poses serious risks across various sectors, including journalism, social media, and law enforcement, where the potential for misinformation and deception threatens to undermine trust and credibility. As deep fakes become increasingly sophisticated, they can erode public discourse, compromise security, and damage personal reputations. This abstract examines the implications of deep fake technology, emphasizing the urgent need for robust detection strategies and ethical frameworks to address the risks associated with fabricated visual content. A collaborative approach involving technologists, policymakers, and educators is essential to uphold the integrity of information and foster accountability in an evolving digital landscape.

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Paper Id: 232367

Published On: 2025-04-11

Published In: Volume 13, Issue 2, March-April 2025

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