Abstract
Technologies for producing and modifying content for multimedia have reached to the point that they could now deliver an extremely high degree of realism. Free software tools accessible on the Internet enable anyone with no special expertise to generate incredibly convincing fake images and videos. These technologies provide plenty of new opportunities in various sectors such as fine arts, marketing, film-making, and video games. They could also be employed to influence thoughts of the society in election campaigns, attempt crime, blackmail, or defame individuals. Thus, automated and effective methods of identifying fake media content are urgently needed. This chapter aims to provide an assessment of approaches for validating multimedia integrity as well as detecting modified images and videos. Deepfakes generated using deep learning (DL) techniques will be highlighted particularly, as well as recent data-driven forensics strategies to counter them. The results emphasize the shortcomings of present forensics techniques, the most crucial concerns, emerging obstacles, and future research possibilities.
| Original language | English |
|---|---|
| Title of host publication | Breakthroughs in Digital Biometrics and Forensics |
| Editors | Kevin Daimi, Guillermo Francia III, Luis Hernández Encinas |
| Place of Publication | Switzerland |
| Publisher | Springer Nature Switzerland AG |
| Pages | 387-410 |
| Number of pages | 24 |
| ISBN (Electronic) | 978-3-031-10706-1 |
| ISBN (Print) | 978-3-031-10705-4, 978-3-031-10708-5 |
| DOIs | |
| Publication status | Published - 2022 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 16 Peace, Justice and Strong Institutions
Keywords
- Adversarial multimedia forensics
- Cybersecurity
- Deepfakes
- Image and video forensics
- Machine and deep learning
- Multimedia forensics
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