Blockchain Based Approach for tackling Deepfake videos

Author:

Patil Ujwal1,Chouragade Prof. P. M.2

Affiliation:

1. M.Tech ,Computer Science and Engineering, GCOE, Amravati, Maharashtra, India

2. Assistant Professor, Computer Science and Engineering, GCOE, Amravati, Maharashtra, India

Abstract

<p>The technological advancements and a qualitative improvement in the field of artificial intelligence and deep learning leads to the creation of realistic-looking but phoney digital content known as deepfakes .These manipulated videos can quickly be shared via social media to spread fake news or disinformation which not only impacts those who are deceived it also harms social media sites by diminishing faith.These deepfake videos cannot be checked since there are no regulatory mechanisms in place .As a result these untrustworthy outlets will post whatever they wish causing confusion in society in some ways.Current solutions are unable to provide digital media history tracing and authentication it is essential to develop successful methods for detecting deepfake video as a result it is necessary to determine the source or origin of such deepfake footage.That’s why we are implementing blockchain techniques to trace back and determine the origin of digital media blockchain techniques helps in the effective recognition of deepfake video and calculating the trust factor of user.</p>

Publisher

Technoscience Academy

Subject

General Medicine

Reference13 articles.

1. How Faking Videos Became Easy — And Why That’s SoScary[Online].Available:https://fortune.com/2018/09/11/deep-fakes-obama-video/

2. Li, Yuezun and Siwei Lyu.“Exposing DeepFake Videos By Detecting Face Warping Artifacts.” ArXiv abs/1811.00656 (2019)

3. Y. Li, M. Chang and S. Lyu, "In Ictu Oculi: Exposing AI Created Fake Videos by Detecting Eye Blinking," 2018 IEEE International Workshop on Information Forensics and Security (WIFS), 2018, pp. 1-7

4. X. Yang, Y. Li and S. Lyu, "Exposing Deep Fakes Using Inconsistent Head Poses," ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2019, pp. 8261-8265

5. Gipp, Bela et al. “Securing Video Integrity Using Decentralized Trusted Timestamping on the Bitcoin Blockchain.” MCIS (2016).

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