A hybrid DST-SBPNRM approach for compressed video steganography

Patel, Rachna; Lad, Kalpesh; Patel, Mukesh; Desai, Madhavi B.

doi:10.1007/s00530-020-00735-9

Cited by 10 publications

(3 citation statements)

References 14 publications

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“…According to the key value of SDS, ( ) (11) The encryption process of PDS operation is expressed as given in equation 12.…”

Section: Secondary Diagonal Shift Operationmentioning

confidence: 99%

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Robust video steganography using wavelet transform with weighted median filter-based prediction model

Babu,

Niranjana,

Ramana

2024

Preprint

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Several security issues arise when transferring data or information between sites or via public networks. To stop the theft of sensitive data, numerous video steganography techniques have lately been put forth. However, there are numerous problems with these approaches' visual imperceptibility, resilience, and embedding ability. To ensure the robustness of the steganography model, we present robust video steganography employing wavelet transform and a prediction model based on a weighted median filter in this study. Five steps make up the proposed method: frame conversion, discrete wavelet transform (DWT) frame decomposition, secret image encryption, embedding, and extraction. We start by taking into account the two inputs, namely, video and secret information. After that, a frame count is created from the video sequence. We use DWT to divide the frame into low and high-frequency sub-bands after frame conversion. We chose the high-frequency band for the embedding operation from among the sub-bands. Then, we use a secret image to encrypt the data using the Enhanced Cyclic Shift Transposition (ECST) technique. Then, a high-frequency band containing the encrypted secret information is inserted into the cover video. The weighted median-based prediction (WMP) technique is proposed for the embedding process. We use the inverse wavelet transform to obtain stego-information after the embedding process. We use the reverse process while extracting data. The performance of the proposed approach is analyzed based on different metrics and we obtained the maximum PSNR of 57.59dB.

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“…According to the key value of SDS, ( ) (11) The encryption process of PDS operation is expressed as given in equation 12.…”

Section: Secondary Diagonal Shift Operationmentioning

confidence: 99%

“…To protect sensitive information, Rachna Patel et al [11] created a special method of steganography, specifically in the context of compressed video. This non-dynamic area has been moved from the spatial domain to the frequency domain using the discrete sine transform (DST).…”

Section: Literature Surveymentioning

confidence: 99%

Robust video steganography using wavelet transform with weighted median filter-based prediction model

Babu,

Niranjana,

Ramana

2024

Preprint

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“…However, embedding capacity is low due to using I-frames and these types of frames are infrequent and need a more practical technique to achieve better embedding capacity (EC). In 2021 [8], Implemented a hiding scheme using discrete sine transform secret bit positions of the non-dynamic region for message to embedding secret RGB image in intra-prediction from (H.264/AVC) advance video coding. Results show that this algorithm has low imperceptibility, robustness, and embedding capacity.…”

Section: Literature Reviewmentioning

confidence: 99%

A Secure Data Hiding For H.264 Video Based on Chaotic Map Methods and RC4 Algorithm

M. Mashkour,

M. Jawad,

Sulong

2024

Iraqi Journal of ICT

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Video steganography is the common field of data security in digital communication where data include text, image, and video. Compressed video is the suitable modern source for hiding huge secret data that will trust security. This work proposed a compressed video steganography scheme for hiding cipher secret data in high security levels. The proposed work consists of three phases, protected secret data (Text English and Arabic, Images, and Video) based on proposed chaotic maps module and RC4 algorithm. The chaotic maps module is a combination between (honen map and sine map) with simple operations to protected plain data. Second phase, hidden cipher secret data between the quantized discrete cosine transform (QDCT) and entropy coding from the inter-prediction mode at the H.264/AVC video frames using Least Significant Bit (LSB) replacement. Third phase, transmit and receive secret data. The experimental result shows that the proposed scheme is high-security level where was cipher secret data with the average entropy value of (7.993), an average PSNR value of (8.790 dB), an average correlation value of (3.4x 10-3), key length is 228 bit and key space is 2228. Moreover, measured Randomness to generation key by NIST were succeeded in all the tests and Robustness, imperceptibility, and embedding capacity are high while maintaining visual quality, where the average PSNR value of (36.26 dB), and the average SSIM value of (0.95).

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Low-complexity two-step lossless depth coding using coarse Lossy coding

Lee

Choi

et al. 2022

Multimed Tools Appl

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A hybrid DST-SBPNRM approach for compressed video steganography

Cited by 10 publications

References 14 publications

Robust video steganography using wavelet transform with weighted median filter-based prediction model

Robust video steganography using wavelet transform with weighted median filter-based prediction model

A Secure Data Hiding For H.264 Video Based on Chaotic Map Methods and RC4 Algorithm

Low-complexity two-step lossless depth coding using coarse Lossy coding

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