• Aishwarya Gupta
• Megha Gupta
• Garuna Chauhan

Deepfakes are videos that use someone else's likeness to replace persons in existing footage. Currently, the majority of their influence is restricted to pornography, and they are also used to malign people. Although it appears to be a fun approach to create phoney movies or images of anything or some persons, it has the potential to propagate disinformation over the internet. Deepfake material might be harmful to people as well as our communities, companies, governments, faiths, and so on. Because Deepfake material is created with a high degree of competence and a mix of numerous deep learning algorithms, it appears virtually real and authentic and is difficult to distinguish. Face identification, multimedia forensics, watermarking, and convolutional neural networks are some of the approaches used to identify deepfakes (CNNs). To identify any type of modification in photographs and videos, each approach employs machine learning, a technology from the field of artificial intelligence. This paper presents the concept of Deepfake and how Deepfake is a threat to our society. This paper also discussed the measures and strict regulations that could prevent the adverse effect of it.

DeepFake, Face Detection, Photos/Videos manipulation

"ERA OF DEEPFAKE TECHNOLOGY: THREAT OR AIMBLE ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.9, Issue 6, page no.124-127, June-2022, Available :http://www.jetir.org/papers/JETIRFM06023.pdf

"ERA OF DEEPFAKE TECHNOLOGY: THREAT OR AIMBLE ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.9, Issue 6, page no. pp124-127, June-2022, Available at : http://www.jetir.org/papers/JETIRFM06023.pdf