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International Journal for Research Trends and Innovation
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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: | An adaptive deep learning video steganography |
| Authors Name: | LAKSHMI PRASANNA SURATHU , SUNEEL KUMAR DUVVURI |
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| Author Reg. ID: |
IJRTI_184142
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| Published Paper Id: | IJRTI2209094 |
| Published In: | Volume 7 Issue 9, September-2022 |
| DOI: | |
| Abstract: | Steganography is the art of hiding a hidden message inside of a regular message. The communications may include text, photos, audio, and other media. The objective of contemporary steganography is to discreetly transmit a digital message. Many different carrier file formats are often used, but digital images are the foremost popular due to their frequency on the web. A full-sized colour video is concealed within another using high-capacity visual steganography techniques, which is the main focus of this work. The Author demonstrate empirically that the high-capacity picture steganography model is inapplicable to the video scenario because it ignores the temporal redundancy between adjacent video frames. Our research suggests a fresh approach to this issue (i.e., hiding a video into another video). Our model specifically has two branches, one of which is created specifically for inter-frame residual concealment into a cover video frame and the other of which conceals the original hidden frame. Then, two decoders are developed, each of which reveals a residual or frame. Second, the author creates first model based on deep convolutional neural networks in the body of work on video steganography. All findings strongly imply that the new model has advantages over earlier approaches. a convolutional neural network that can be used to conceal videos within other videos. Utilizing the principles of deep learning, steganography, and encryption, it is implemented in keras/tensorflow. |
| Keywords: | Deep learning, Cryptography, Steganography, Least significant bit (LSB) |
| Cite Article: | "An adaptive deep learning video steganography", International Journal of Science & Engineering Development Research (www.ijrti.org), ISSN:2455-2631, Vol.7, Issue 9, page no.703 - 710, September-2022, Available :http://www.ijrti.org/papers/IJRTI2209094.pdf |
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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: IJRTI2209094
Registration ID:184142
Published In: Volume 7 Issue 9, September-2022
DOI (Digital Object Identifier):
Page No: 703 - 710 Country: Rajahmundry,East godavari, Andhrapradesh, India Research Area: Computer Science & Technology Publisher : IJ Publication Published Paper URL : https://www.ijrti.org/viewpaperforall?paper=IJRTI2209094 Published Paper PDF: https://www.ijrti.org/papers/IJRTI2209094 |
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ISSN: 2456-3315
Impact Factor: 8.14 and ISSN APPROVED,
Journal Starting Year (ESTD) : 2016
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