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ISSN Approved Journal No: 2456-3315 | Impact factor: 8.14 | ESTD Year: 2016
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Impact Factor : 8.14

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Paper Title: DeepFake Detection in Real-Time: A Hybrid LSTM-CNN Approach
Authors Name: Manoah Samson Raj.P , Suryaraman.D , Saravanan.K.S , Muthulakshmi
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IJRTI_203087
Published Paper Id: IJRTI2504289
Published In: Volume 10 Issue 5, May-2025
DOI:
Abstract: One that has come to be a deep challenge has been the digital security problem of why deep fake technology has emerged, where the ability to create highly realistic but manipulated media that can fool individuals and automated systems. While XceptionNet and ResNet provide good accuracy, they have very high computational overhead and are hence slow for real time executions on limited resource devices. In addressing this challenge, we develop a lightweight and low delay real time deepfake detection system based on MobileNet, LSTM (Long Short Term Memory) and EfficientNetV2. Spatial feature extraction is done with MobileNet, sequential inconsistencies are learnt with LSTM and spatial features are refined by EfficientNetV2 to improve classification performance.
Keywords: Deepfake detection, MobileNet, LSTM, EfficientNetV2, real-time classification, edge computing, TensorFlow, OpenCV, Streamlit, digital forensics.
Cite Article: "DeepFake Detection in Real-Time: A Hybrid LSTM-CNN Approach ", International Journal of Science & Engineering Development Research (www.ijrti.org), ISSN:2455-2631, Vol.10, Issue 5, page no.c538-c543, May-2025, Available :http://www.ijrti.org/papers/IJRTI2504289.pdf
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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
Publication Details: Published Paper ID: IJRTI2504289
Registration ID:203087
Published In: Volume 10 Issue 5, May-2025
DOI (Digital Object Identifier):
Page No: c538-c543
Country: Tiruppur, Tamil Nadu, India
Research Area: Engineering
Publisher : IJ Publication
Published Paper URL : https://www.ijrti.org/viewpaperforall?paper=IJRTI2504289
Published Paper PDF: https://www.ijrti.org/papers/IJRTI2504289
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ISSN: 2456-3315
Impact Factor: 8.14 and ISSN APPROVED, Journal Starting Year (ESTD) : 2016

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