An Enhanced Deepfake Video Detection Technique

Mariam Alkaabi, Meera Albloushi, Alyazia Alkaabi, Amna Alhammadi, Fatima Alketbi, Mohammad M. Masud

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

A deepfake is a piece of digital material that has been altered, such as a picture or a video in which the subject's likeness has been substituted. Deepfake is a real danger to society since it distorts the opinions and perceptions of those around us. Deep learning, which is referred to as 'a subset of AI,' is used to create deepfake. Deep learning is a combination of algorithms with the ability to learn and make sensible decisions on their own. People may be led astray by deepfake into believing something to be genuine when it is not. In the hands of internet scammers and cybercriminals, such cutting-edge technologies as deepfake can become dangerous tools. Deepfakes can be hard to spot, making it tough to stop the dissemination of fake content. Additionally, anyone with little programming knowledge can make deepfakes because they can be made with relatively simple tools. Understanding the dangers of deepfake, we are motivated to understand the technology behind deepfake generation, search for technologies to counter this threat, and develop effective detection techniques to accurately identify deepfake videos with high efficiency. In order to achieve this, we have conducted an extensive literature search on various algorithms for creating and detecting deepfake videos. We have identified their relative strengths and limitations, and areas for potential improvements. We have developed to enhance the current detection techniques by designing and developing a new technique that can effectively identify fake videos with multiple faces.

Original languageEnglish
Title of host publication2023 15th International Conference on Innovations in Information Technology, IIT 2023
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages234-239
Number of pages6
ISBN (Electronic)9798350382396
DOIs
Publication statusPublished - 2023
Event15th International Conference on Innovations in Information Technology, IIT 2023 - Al Ain, United Arab Emirates
Duration: Nov 14 2023Nov 15 2023

Publication series

Name2023 15th International Conference on Innovations in Information Technology, IIT 2023

Conference

Conference15th International Conference on Innovations in Information Technology, IIT 2023
Country/TerritoryUnited Arab Emirates
CityAl Ain
Period11/14/2311/15/23

Keywords

  • deep learning
  • deepfake
  • deepfake video detection
  • generative adversarial network

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computer Networks and Communications
  • Computer Science Applications
  • Information Systems

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