Blockchain Based Approach for tackling Deepfake videos

Authors(2) :-Ujwal Patil, Prof. P. M. Chouragade

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.

Authors and Affiliations

Ujwal Patil
M.Tech ,Computer Science and Engineering, GCOE, Amravati, Maharashtra, India
Prof. P. M. Chouragade
Assistant Professor, Computer Science and Engineering, GCOE, Amravati, Maharashtra, India

Deepfake ,AI, Blockchain, IPFS Storage, Deepfake videos

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Publication Details

Published in : Volume 7 | Issue 3 | May-June 2021
Date of Publication : 2021-06-30
License:  This work is licensed under a Creative Commons Attribution 4.0 International License.
Page(s) : 342-347
Manuscript Number : CSEIT217372
Publisher : Technoscience Academy

ISSN : 2456-3307

Cite This Article :

Ujwal Patil, Prof. P. M. Chouragade, "Blockchain Based Approach for tackling Deepfake videos", International Journal of Scientific Research in Computer Science, Engineering and Information Technology (IJSRCSEIT), ISSN : 2456-3307, Volume 7, Issue 3, pp.342-347, May-June-2021. Available at doi : https://doi.org/10.32628/CSEIT217372
Journal URL : https://ijsrcseit.com/CSEIT217372 Citation Detection and Elimination     |      |          | BibTeX | RIS | CSV

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