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  Published Paper Details:

  Paper Title

A Steganography Classification Based on Image,Video and Audio

  Authors

  Ujjwala Rathod,  Atharv Pawar,  Siddhant Nilange,  Prof. Yogesh Shepal

  Keywords

Steganography, Multimedia Security, Video Steganography, LSB Coding, Adaptive Embedding, Content Au- thentication, Copyright Protection, Covert Communication

  Abstract


In today's digital age, where the internet is widely used, ensuring security has become a top priority. As internet usage continues to soar, the amount of data exchanged daily has also surged, presenting a growing risk of exploitation by malicious actors. One effective strategy to address this growing concern is the adoption of Steganography, a technique used to hide secret information within seemingly innocent files. Specifically, this paper delves into the realm of video Steganography, a method wherein data is concealed within the frames of videos, offering an additional layer of security. By combining Steganography with cryptography, this approach provides a dual-layered de- fense mechanism against potential threats. Through encryption using cryptographic algorithms followed by the embedding of encrypted data into video frames using LSB coding, this method ensures both simplicity and efficiency in safeguarding large volumes of sensitive information.

  IJCRT's Publication Details

  Unique Identification Number - IJCRTAF02004

  Paper ID - 261166

  Page Number(s) - 15-18

  Pubished in - Volume 12 | Issue 5 | May 2024

  DOI (Digital Object Identifier) -   

  Publisher Name - IJCRT | www.ijcrt.org | ISSN : 2320-2882

  E-ISSN Number - 2320-2882

  Cite this article

  Ujjwala Rathod,  Atharv Pawar,  Siddhant Nilange,  Prof. Yogesh Shepal,   "A Steganography Classification Based on Image,Video and Audio", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.12, Issue 5, pp.15-18, May 2024, Available at :http://www.ijcrt.org/papers/IJCRTAF02004.pdf

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ISSN: 2320-2882
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Journal Starting Year (ESTD) : 2013
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ISSN and 7.97 Impact Factor Details


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ISSN
ISSN: 2320-2882
Impact Factor: 7.97 and ISSN APPROVED
Journal Starting Year (ESTD) : 2013
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