Utilizations of Reversible Lossless Data Hiding Techniques in Video Sequences

al., Osama F. Abdel Wahab et.

doi:10.12785/ijcnt/030102

Cited by 2 publications

(1 citation statement)

References 12 publications

(15 reference statements)

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“…Wahab et al [121] proposed a hybrid approach for video steganography based on discrete wavelet transform (DWT) and histogram shifting. After transforming the cover frame to the wavelet domain by performing the DWT operation, the histogram shifting technique is implemented to embed the secret data.…”

Section: (X Y)mentioning

confidence: 99%

Video steganography: recent advances and challenges

Kunhoth

Subramanian

Al‐Maadeed

et al. 2023

Multimed Tools Appl

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Video steganography approach enables hiding chunks of secret information inside video sequences. The features of video sequences including high capacity as well as complex structure make them more preferable for choosing as cover media over other media such as image, text, or audio. Video steganography is a prominent as well as the evolving field in the information security domain and significant number of video steganography methods are proposed in recent years. This article provides a comprehensive review of video steganography methods proposed in the literature. This article initially reviews various raw domain-based video steganography methods. In particular, the raw domain-based methods include spatial domain approaches such as least significant bits (LSB), transform domain-based methods such as discrete wavelet transform, discrete cosine transform, etc. Furthermore, the article looks into various compressed domain steganography methods. A critical comparative analysis is included in the article to analyze and contrast the steganography methods proposed in the literature. A brief description of various evaluation matrices for video steganography methods is provided in this article. Moreover, a brief introduction to steganalysis and video steganalysis is provided. The article concludes with a discussion focused on the limitations and challenges of the video steganography methods. Further, a brief insight into future directions in video steganography systems is provided.

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Section: (X Y)mentioning

confidence: 99%

Video steganography: recent advances and challenges

Kunhoth

Subramanian

Al‐Maadeed

et al. 2023

Multimed Tools Appl

View full text Add to dashboard Cite

show abstract

Hiding data in images using steganography techniques with compression algorithms

et al. 2019

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Steganography is the science and art of secret communication between two sides that attempt to hide the content of the message. It is the science of embedding information into the cover image without causing a loss in the cover image after embedding.Steganography is the art and technology of writing hidden messages in such a manner that no person, apart from the sender and supposed recipient, suspects the lifestyles of the message. It is gaining huge attention these days as it does now not attract attention to its information's existence. In this paper, a comparison of two different techniques is given. The first technique used Least Significant Bit (LSB) with no encryption and no compression. In the second technique, the secret message is encrypted first then LSB technique is applied. Moreover, Discrete Cosine Transform (DCT) is used to transform the image into the frequency domain. The LSB algorithm is implemented in spatial domain in which the payload bits are inserted into the least significant bits of cover image to develop the stego-image while DCT algorithm is implemented in frequency domain in which the stego-image is transformed from spatial domain to the frequency domain and the payload bits are inserted into the frequency components of the cover image.The performance of these two techniques is evaluated on the basis of the parameters MSE and PSNR.

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Utilizations of Reversible Lossless Data Hiding Techniques in Video Sequences

Cited by 2 publications

References 12 publications

Video steganography: recent advances and challenges

Video steganography: recent advances and challenges

Hiding data in images using steganography techniques with compression algorithms

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