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International Journal for Research Trends and Innovation
International Peer Reviewed & Refereed Journals, Open Access Journal
ISSN Approved Journal No: 2456-3315 | Impact factor: 8.14 | ESTD Year: 2016
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Issue: May 2026
Volume 11 | Issue 5
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Impact Factor : 8.14
Issue per Year : 12
Volume Published : 11
Issue Published : 120
Article Submitted : 24204
Article Published : 9239
Total Authors : 24597
Total Reviewer : 847
Total Countries : 165
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| Paper Title: | Fake Video Detection Using CNN- Deep Learning Model |
| Authors Name: | M Joyel Albert , S Suveetha , S Gowtham , A Dhanush , S Dhanuskaarthikeyan |
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| Author Reg. ID: |
IJRTI_211509
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| Published Paper Id: | IJRTI2604304 |
| Published In: | Volume 11 Issue 4, April-2026 |
| DOI: | |
| Abstract: | The invention of sophisticated video generating technology has facilitated the production of fake videos to become more realistic and achievable with less effort than before. These artificial videos commonly referred to as deepfakes are a major threat to online communication by feeding false information and loss of faith in online media. Consequently, the task of identifying such fabricated material has become a significant study issue in multimedia security and computer vision. This paper presents a counterfeit video detection method, which is based on detecting visual anomalies in facial areas in video frames. The process starts with spilt the video frames as frame by frame to analysis the face details.fake videos would has some small mistakes or unnatural patterns would be there in the video.the process will frame to frame time check which means it would continuous frame check as one frame at a time.This would be done using Convolutional Neural Network(CNN) a deep learning model which is used for image pattern detection. |
| Keywords: | Fake Video Detection, Computer Vision, Multimedia Security, Convolutional neural network (CNN), Deepfake Detection, Deep Learning. |
| Cite Article: | "Fake Video Detection Using CNN- Deep Learning Model", International Journal for Research Trends and Innovation (www.ijrti.org), ISSN:2456-3315, Vol.11, Issue 4, page no.c267-c271, April-2026, Available :http://www.ijrti.org/papers/IJRTI2604304.pdf |
| Downloads: | 000205511 |
| ISSN: |
2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016 An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator |
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Published Paper ID: IJRTI2604304
Registration ID:211509
Published In: Volume 11 Issue 4, April-2026
DOI (Digital Object Identifier):
Page No: c267-c271 Country: Salem, Tamil Nadu, India Research Area: Engineering Publisher : IJ Publication Published Paper URL : https://www.ijrti.org/viewpaperforall?paper=IJRTI2604304 Published Paper PDF: https://www.ijrti.org/papers/IJRTI2604304 |
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ISSN: 2456-3315
Impact Factor: 8.14 and ISSN APPROVED,
Journal Starting Year (ESTD) : 2016
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