• Aabha Wagh
• Vaidehi Salvi
• Parth Savla
• Drashti Nagda
• Dr. Shwetambari Borade

In recent years, there has been a pronounced escalation in cyber criminal activities, closely paralleling the rapid advancements in AI technology. The emergence of deepfake technology represents a formidable challenge to the maintenance of digital information integrity. This investigation underscores the critical exigency for dependable techniques in deepfake detection, imperative for stemming the dissemination of manipulated media. To preclude the proliferation of erroneous information, bolster credibility, and uphold public trust, the implementation of detection systems is indispensable. However, their deployment necessitates a substantial allocation of computational resources, giving rise to ethical considerations concerning consent and privacy. This study underscores the paramount importance of striking a judicious equilibrium to ensure both effective and ethically upright deepfake detection in the digital milieu. It achieves this through a comprehensive scrutiny of the advantages and drawbacks, including the preservation of content integrity and the attendant resource requisites.

Deepfake Technology, Deepfake Detection, Convolutional Neural Networks, Artificial Intelligence bots, Machine Learning Artificial Intelligence, Face Morphing Detection, Deep Learning.

"Deepfake Technology and the Detection Methods: A Review", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.11, Issue 4, page no.o224-o229, April-2024, Available :http://www.jetir.org/papers/JETIR2404F32.pdf

"Deepfake Technology and the Detection Methods: A Review", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.11, Issue 4, page no. ppo224-o229, April-2024, Available at : http://www.jetir.org/papers/JETIR2404F32.pdf