An adaptive tri-pixel unit steganographic algorithm using the least two significant bits

Xiangyu Yu; Hui Liang; Minting Li; Chang Tsun Li

doi:10.1109/IWBF.2017.7935085

An adaptive tri-pixel unit steganographic algorithm using the least two significant bits

Xiangyu Yu
, Hui Liang
, Minting Li
, Chang Tsun Li

South China University of Technology

Research output: Book chapter/Published conference paper › Conference paper › peer-review

2 Citations (Scopus)

Abstract

Steganography has various useful applications. In this paper, a steganographic algorithm with high payload and low change rate is proposed. Three pixels are processed as a unit, the exclusive-or result of the second least significant bits (SLSBs) of the pixels in that unit is regarded as the flag. According to the value of the flag, as well as the Hamming distance between the least significant bits (LSBs) and the secret messages, three bits of secret message are embedded. Secret message can be easily extracted depending on the value of flag. Local texture is also considered to achieve adaptive embedding. The advantage of the proposed algorithm is that at most one pixel will be modified when embedding three bits of message into three pixels. Simulation results showed that the proposed algorithm decreases the probability of detection for steganalysis methods and the security has been much improved.

Original language	English
Title of host publication	Proceedings - 2017 5th international workshop on biometrics and forensics (IWBF 2017)
Place of Publication	United States
Publisher	IEEE, Institute of Electrical and Electronics Engineers
Pages	1-6
Number of pages	6
ISBN (Electronic)	9781509057917
ISBN (Print)	9781509057924 (Print on demand)
DOIs	https://doi.org/10.1109/IWBF.2017.7935085
Publication status	Published - 29 May 2017
Event	5th International Workshop on Biometrics and Forensics: IWBF 2017 - University of Warwick, Coventry, United Kingdom Duration: 04 Apr 2017 → 05 Apr 2017 https://warwick.ac.uk/fac/sci/dcs/people/chang-tsun_li/iwbf2017/ (Conference website)

Conference

Conference	5th International Workshop on Biometrics and Forensics
Country/Territory	United Kingdom
City	Coventry
Period	04/04/17 → 05/04/17
Other	IWBF is an international forum devoted specifically to facilitate synergies in research and development in the areas of multimedia forensics, forensicbiometrics and forensic science. IWBF provides the meeting place for those concerned with the usage of multimedia analysis in forensic applications and biometric recognition systems, attracting participants from industry, research, academia and end-users.
Internet address	https://warwick.ac.uk/fac/sci/dcs/people/chang-tsun_li/iwbf2017/ (Conference website)

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10.1109/IWBF.2017.7935085

Cite this

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title = "An adaptive tri-pixel unit steganographic algorithm using the least two significant bits",

abstract = "Steganography has various useful applications. In this paper, a steganographic algorithm with high payload and low change rate is proposed. Three pixels are processed as a unit, the exclusive-or result of the second least significant bits (SLSBs) of the pixels in that unit is regarded as the flag. According to the value of the flag, as well as the Hamming distance between the least significant bits (LSBs) and the secret messages, three bits of secret message are embedded. Secret message can be easily extracted depending on the value of flag. Local texture is also considered to achieve adaptive embedding. The advantage of the proposed algorithm is that at most one pixel will be modified when embedding three bits of message into three pixels. Simulation results showed that the proposed algorithm decreases the probability of detection for steganalysis methods and the security has been much improved.",

keywords = "Adaptive embedding, Data hiding, Least significant bit, Steganography",

author = "Xiangyu Yu and Hui Liang and Minting Li and Li, \{Chang Tsun\}",

note = "Includes bibliographical references.; 5th International Workshop on Biometrics and Forensics : IWBF 2017 ; Conference date: 04-04-2017 Through 05-04-2017",

year = "2017",

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booktitle = "Proceedings - 2017 5th international workshop on biometrics and forensics (IWBF 2017)",

publisher = "IEEE, Institute of Electrical and Electronics Engineers",

address = "United States",

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Yu, X, Liang, H, Li, M & Li, CT 2017, An adaptive tri-pixel unit steganographic algorithm using the least two significant bits. in Proceedings - 2017 5th international workshop on biometrics and forensics (IWBF 2017)., 7935085, IEEE, Institute of Electrical and Electronics Engineers, United States, pp. 1-6, 5th International Workshop on Biometrics and Forensics, Coventry, United Kingdom, 04/04/17. https://doi.org/10.1109/IWBF.2017.7935085

An adaptive tri-pixel unit steganographic algorithm using the least two significant bits. / Yu, Xiangyu; Liang, Hui; Li, Minting et al.
Proceedings - 2017 5th international workshop on biometrics and forensics (IWBF 2017). United States: IEEE, Institute of Electrical and Electronics Engineers, 2017. p. 1-6 7935085.

Research output: Book chapter/Published conference paper › Conference paper › peer-review

TY - GEN

T1 - An adaptive tri-pixel unit steganographic algorithm using the least two significant bits

AU - Yu, Xiangyu

AU - Liang, Hui

AU - Li, Minting

AU - Li, Chang Tsun

N1 - Includes bibliographical references.

PY - 2017/5/29

Y1 - 2017/5/29

N2 - Steganography has various useful applications. In this paper, a steganographic algorithm with high payload and low change rate is proposed. Three pixels are processed as a unit, the exclusive-or result of the second least significant bits (SLSBs) of the pixels in that unit is regarded as the flag. According to the value of the flag, as well as the Hamming distance between the least significant bits (LSBs) and the secret messages, three bits of secret message are embedded. Secret message can be easily extracted depending on the value of flag. Local texture is also considered to achieve adaptive embedding. The advantage of the proposed algorithm is that at most one pixel will be modified when embedding three bits of message into three pixels. Simulation results showed that the proposed algorithm decreases the probability of detection for steganalysis methods and the security has been much improved.

AB - Steganography has various useful applications. In this paper, a steganographic algorithm with high payload and low change rate is proposed. Three pixels are processed as a unit, the exclusive-or result of the second least significant bits (SLSBs) of the pixels in that unit is regarded as the flag. According to the value of the flag, as well as the Hamming distance between the least significant bits (LSBs) and the secret messages, three bits of secret message are embedded. Secret message can be easily extracted depending on the value of flag. Local texture is also considered to achieve adaptive embedding. The advantage of the proposed algorithm is that at most one pixel will be modified when embedding three bits of message into three pixels. Simulation results showed that the proposed algorithm decreases the probability of detection for steganalysis methods and the security has been much improved.

KW - Adaptive embedding

KW - Data hiding

KW - Least significant bit

KW - Steganography

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UR - https://www.scopus.com/pages/publications/85021794480#tab=citedBy

U2 - 10.1109/IWBF.2017.7935085

DO - 10.1109/IWBF.2017.7935085

M3 - Conference paper

AN - SCOPUS:85021794480

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SP - 1

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BT - Proceedings - 2017 5th international workshop on biometrics and forensics (IWBF 2017)

PB - IEEE, Institute of Electrical and Electronics Engineers

CY - United States

T2 - 5th International Workshop on Biometrics and Forensics

Y2 - 4 April 2017 through 5 April 2017

ER -

An adaptive tri-pixel unit steganographic algorithm using the least two significant bits

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