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Deepfake Technology: Challenges, Detection, and Future Directions

Year: 2025

Type: conference-paper

Abstract: : Deepfake technology, powered by artificial intelligence (AI) and deep learning, enables the creation of highly realistic synthetic media, including images, videos, and audio. While it offers advancements in entertainment, education, and accessibility, it also introduces severe risks, such as misinformation, identity fraud, and cybersecurity threats. The rapid development of deepfake generation techniques necessitates robust detection mechanisms and regulatory frameworks. This paper provides an overview of deepfake technology, its working principles, associated risks, detection methodologies, and potential future solutions to ensure ethical and responsible use.

Source: Zenodo (CERN European Organization for Nuclear Research)

DOI: 10.5281/zenodo.15424032

Authors: Maxmudjanov, Sarvar, Primbetov, Abbaz

Institutions: Tashkent University of Information Technology, University of Tashkent for Applied Sciences

Language: English

Topic: Digital Media Forensic Detection

Subfield: Computer Vision and Pattern Recognition

Field: Computer Science

Domain: Physical Sciences

Open Access status: green

OpenAlex ID: W6949482650

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