The Defensive Methods Against Deepfake: Review

Authors

  • Ebtehal Talib Ministry of Higher Education and Scientific Research, Baghdad, Iraq https://orcid.org/0000-0002-9513-5877
  • Nidaa Flaih Hassan Department of Computer Science, University of Technology, Baghdad, Iraq
  • Abeer Salim Jamil Department of Computer Technology Engineering, Al-Mansour University College, Iraq

DOI:

https://doi.org/10.24996/ijs.2023.64.10.39

Keywords:

Deepfake, Positive Defensive, Negative Defensive, Cryptography, Deep Learning

Abstract

     Due to the spread of “Deepfake” in our society and the impact of this phenomenon on politicians, celebrities, and the privacy of individuals in particular, as well as, on the other hand, its impact on the electoral process as well as financial fraud, all these reasons prompted us to present a research paper dealing with this phenomenon. This paper presents a comprehensive review of Deepfake, how it is created, and who has produced it. This paper can be used as a reference and information source for the methods used to limit deepfake by detecting forgeries and minimizing its impact on society by preventing it. This paper reviews the results of much research in the field of deepfake, as well as the advantages of each method, as well as finding points of weakness such as complexity, time consumption, and the environment that is applied to it. Methods to avoid or reduce these obstacles are also suggested.

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Published

2023-10-30

Issue

Section

Computer Science

How to Cite

The Defensive Methods Against Deepfake: Review. (2023). Iraqi Journal of Science, 64(10), 5345-5357. https://doi.org/10.24996/ijs.2023.64.10.39

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