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Dwt Based Data Hiding Using Video Steganography

Authors: S.Kamesh*, K.Durga Devi, S.N.V.P.Raviteja;

Dwt Based Data Hiding Using Video Steganography

Abstract

Now a days transfer of information from one system to another system needs more security especially in some applications like militaty etc. It can sent to through different mediums such as audio,video. So to transmit information in secured manner, Steganography is used. Steganography is the practice of concealing a file, message, image, or video within another file, message, image, or video. The word steganography combines the Greek words steganos meaning "covered, concealed, or protected", and graphein meaning "writing". But we cannot transmit more amounts of hidden data. So we go to the video Steganography using DWT method. In this paper, we propose a steganography technique which embeds the secret messages in frequency domain. According to different users demands on the embedding capacity and quality, the proposed algorithm consists of converting video into frmaes and embedding each secured data within each frame. So more amount of information hide in a single video. Unlike the space domain approaches, secret messages are embedded in the high frequency coefficients resulted from Discrete Wavelet Transform.

Keywords

Steganography, Discrete Wavelet Transform (DWT), Secrete message, Secure key.

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selected citations
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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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