Proceedings of the 2018 3rd International Conference on Automation, Mechanical Control and Computational Engineering (AMCCE 2018)

A Multi-Layer Steganographic method Based on Audio Time Domain Segmented and Network Steganography

Authors
Pengfei Xue, Hanlin Liu, Jingsong Hu, Ronggui Hu
Corresponding Author
Pengfei Xue
Available Online May 2018.
DOI
https://doi.org/10.2991/amcce-18.2018.72How to use a DOI?
Keywords
Information Hiding; Audio Steganography; Network Steganography; Multi-Layer Steganography
Abstract
Both audio steganography and network steganography are belong to modern steganography. Audio steganography has a large capacity. Network steganography is difficult to detect or track. In this paper, a multi-layer steganographic method based on the collaboration of them (MLS-ATDSS&NS) is proposed. MLS-ATDSS&NS is realized in two covert layers (audio steganography layer and network steganography layer) by two steps. A new audio time domain segmented steganography (ATDSS) method is proposed in step 1, and the collaboration method of ATDSS and NS is proposed in step 2. The experimental results showed that the advantage of MLS-ATDSS&NS over others is better trade-off between capacity, anti-detectability and robustness, that means higher steganographic capacity, better anti-detectability and stronger robustness.
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Proceedings
2018 3rd International Conference on Automation, Mechanical Control and Computational Engineering (AMCCE 2018)
Part of series
Advances in Engineering Research
Publication Date
May 2018
ISBN
978-94-6252-508-5
ISSN
2352-5401
DOI
https://doi.org/10.2991/amcce-18.2018.72How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - Pengfei Xue
AU  - Hanlin Liu
AU  - Jingsong Hu
AU  - Ronggui Hu
PY  - 2018/05
DA  - 2018/05
TI  - A Multi-Layer Steganographic method Based on Audio Time Domain Segmented and Network Steganography
BT  - 2018 3rd International Conference on Automation, Mechanical Control and Computational Engineering (AMCCE 2018)
PB  - Atlantis Press
SN  - 2352-5401
UR  - https://doi.org/10.2991/amcce-18.2018.72
DO  - https://doi.org/10.2991/amcce-18.2018.72
ID  - Xue2018/05
ER  -