research-article

A hybrid DST-SBPNRM approach for compressed video steganography

Authors:

Madhavi DesaiAuthors Info & Claims

Multimedia Systems, Volume 27, Issue 3

Pages 417 - 428

https://doi.org/10.1007/s00530-020-00735-9

Published: 01 June 2021 Publication History

Abstract

The proposed research work is presenting a novel approach in the field of steganography, especially in the compressed video domain with optimum imperceptibility to secure the secret information. In this approach, the specific secret cover video frames are selected from the sequence of video frame from which the non-dynamic region is separated. Discrete sine transform (DST) transforms this non-dynamic region from spatial domain to frequency domain. The least significant bits (LSBs) of the integer part of DST components are used to conceal the secret data. The H.264 codec is used to construct the compressed stego video using intra-frame, inter-frame prediction, motion vector estimation, transform coefficient, i.e., Discrete Cosine Transform (DCT), quantization, and entropy coding. The efficiency of the proposed hybrid technique “DST- Secret Bit Positions of Non-dynamic Region for Message (DST-SBPNRM)” for video steganography is measured by evaluating imperceptibility, robustness and embedding capacity. Moreover, the proposed technique is experimented on the well-defined video dataset and the obtained results are compared with the related work to validate the significance of the proposed work.

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Cited By

Salunkhe SBhosale S(2023)RI-CDVS: Robust and Imperceptible Compressed Domain Video Steganography Using H.265 CodecSN Computer Science10.1007/s42979-023-01681-94:4Online publication date: 26-Apr-2023
https://dl.acm.org/doi/10.1007/s42979-023-01681-9
Salunkhe SBhosale S(2023)Tasmanian Devil Sail Fish Optimization with Deep Learning Enabled Macro Block Selection for Video Steganography in Compressed Video StreamSN Computer Science10.1007/s42979-022-01565-44:2Online publication date: 15-Feb-2023
https://dl.acm.org/doi/10.1007/s42979-022-01565-4
Ding WZhang HReulke RWang Y(2023)Large-capacity image data hiding based on table look-upMultimedia Tools and Applications10.1007/s11042-023-15514-782:28(44123-44146)Online publication date: 1-Nov-2023
https://dl.acm.org/doi/10.1007/s11042-023-15514-7
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Published In

cover image Multimedia Systems

Multimedia Systems Volume 27, Issue 3

Jun 2021

269 pages

ISSN:0942-4962

Issue’s Table of Contents

© The Author(s), under exclusive licence to Springer-Verlag GmbH, DE part of Springer Nature 2021.

Publisher

Springer-Verlag

Berlin, Heidelberg

Publication History

Published: 01 June 2021

Accepted: 09 December 2020

Received: 23 September 2020

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Cited By

Salunkhe SBhosale S(2023)RI-CDVS: Robust and Imperceptible Compressed Domain Video Steganography Using H.265 CodecSN Computer Science10.1007/s42979-023-01681-94:4Online publication date: 26-Apr-2023
https://dl.acm.org/doi/10.1007/s42979-023-01681-9
Salunkhe SBhosale S(2023)Tasmanian Devil Sail Fish Optimization with Deep Learning Enabled Macro Block Selection for Video Steganography in Compressed Video StreamSN Computer Science10.1007/s42979-022-01565-44:2Online publication date: 15-Feb-2023
https://dl.acm.org/doi/10.1007/s42979-022-01565-4
Ding WZhang HReulke RWang Y(2023)Large-capacity image data hiding based on table look-upMultimedia Tools and Applications10.1007/s11042-023-15514-782:28(44123-44146)Online publication date: 1-Nov-2023
https://dl.acm.org/doi/10.1007/s11042-023-15514-7
Eltayeb AShanableh T(2022)Data embedding in scrambled video by rotating motion vectorsMultimedia Tools and Applications10.1007/s11042-022-12945-681:18(25473-25496)Online publication date: 23-Mar-2022
https://dl.acm.org/doi/10.1007/s11042-022-12945-6
Lee JVan Le TChoi YChoi K(2022)Low-complexity two-step lossless depth coding using coarse Lossy codingMultimedia Tools and Applications10.1007/s11042-022-12145-281:10(14065-14079)Online publication date: 1-Apr-2022
https://dl.acm.org/doi/10.1007/s11042-022-12145-2

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