Proceedings of the First International Conference on Advances in Forensics and Cyber Technologies (ICFACT 2025)

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Artificial Intelligence Approaches for Deepfake Detection: A Comprehensive Review

Authors
R. Dhanunjaya Rao1, *, K. Nagabhushan Raju2
1Research Scholor, SKU, Assistant Professor, Department of Digital Forensics, School of Sciences, Malla Reddy University, Ananthapur, Hyderabad, India
2Professor, Department of Instrumentation, Sri Krishnadevaraya University, Anantapur, Andhra Pradesh, India
Corresponding Author
R. Dhanunjaya Rao
Available Online 5 May 2026.
DOI
10.2991/978-94-6239-610-4_44How to use a DOI?
Keywords
Deepfake Detection; Video Forensics; Audio Tampering; CNN; GAN; Lip-Sync; AI Forensics; Quantum Detection; Dataset Bias
Abstract

Deepfakes, synthetic media generated using artificial intelligence, pose serious challenges to information authenticity, legal systems, and public trust. This review paper explores the landscape of deepfake detection techniques, encompassing both image and audio modalities. It examines state-of-the-art methods such as CNNs, RNNs, transformers, and audio-visual fusion models, alongside traditional forensic approaches. The study also evaluates the performance of these models across various datasets, highlights challenges like dataset bias and generalizability, and discusses future directions including quantum-based detection and real-time robustness.

Copyright
© 2026 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the First International Conference on Advances in Forensics and Cyber Technologies (ICFACT 2025)
Series
Advances in Computer Science Research
Publication Date
5 May 2026
ISBN
978-94-6239-610-4
ISSN
2352-538X
DOI
10.2991/978-94-6239-610-4_44How to use a DOI?
Copyright
© 2026 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

risenwbib
TY  - CONF
AU  - R. Dhanunjaya Rao
AU  - K. Nagabhushan Raju
PY  - 2026
DA  - 2026/05/05
TI  - Artificial Intelligence Approaches for Deepfake Detection: A Comprehensive Review
BT  - Proceedings of the First International Conference on Advances in Forensics and Cyber Technologies (ICFACT 2025)
PB  - Atlantis Press
SP  - 507
EP  - 522
SN  - 2352-538X
UR  - https://doi.org/10.2991/978-94-6239-610-4_44
DO  - 10.2991/978-94-6239-610-4_44
ID  - Rao2026
ER  -