• Mr. Nagarajan Krishnamurthy
• Ms. Krishnaja S.

The next generation of AI technologies, in particular Generative Adversarial Networks, changed the scenario for many industries and brought in huge business opportunities coupled with rising challenges. The paper discusses the growing threat of fake images and videos created through AI, popularly known as deep fakes, almost indistinguishable from reality. Digital novelties, deep fakes evolved into instruments of misinformation that would soon shatter trust in digital media, create grave ethical and security-related issues. Our paper surveys deep fake implications that span multiple dimensions: personal privacy, societal trust, and political stability. It speaks to the urgency of pursuing the development of robust detection methods and comprehensive mitigation strategies. The discussion is outlined in several sections that include ways to create and detect deep fakes, broader implications of such technologies, and effective prevention and mitigation strategies. This comprises a deep insight through literature, experiments of new algorithms for detection, and real-life case studies of the application of deep fakes. The paper looks at the place of combining technical solution measures with policy measures and public awareness campaigns in combating the deep fake threat. The closing part emphasizes interdisciplinary collaboration and ongoing research in the quest not to be overly matched by evolving AI capabilities and to ensure the integrity of digital media.

Deep Fakes, Generative Adversarial Networks (GANs), AI-Generated Media, Detection Algorithm, Digital Media Integrity

"Mitigating the Threat of AI-Generated Fake Images and Videos in Cybercrime: Detection and Prevention Strategies in Cybersecurity", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.11, Issue 8, page no.f237-f243, August-2024, Available :http://www.jetir.org/papers/JETIR2408525.pdf

"Mitigating the Threat of AI-Generated Fake Images and Videos in Cybercrime: Detection and Prevention Strategies in Cybersecurity", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.11, Issue 8, page no. ppf237-f243, August-2024, Available at : http://www.jetir.org/papers/JETIR2408525.pdf