TY - GEN
T1 - Estimating hidden message length in binary image embedded by using boundary pixels steganography
AU - Chiew, Kang Leng
AU - Pieprzyk, Josef
N1 - Copyright 2010 IEEE. Reprinted from Proceedings, the Fifth International Conference on Availability, Reliability and Security : Krakow, Poland, 15-18 February 2010. This material is posted here with permission of the IEEE. Such permission of the IEEE does not in any way imply IEEE endorsement of any of Macquarie University’s products or services. Internal or personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution must be obtained from the IEEE by writing to [email protected]. By choosing to view this document, you agree to all provisions of the copyright laws protecting it.
PY - 2010/2
Y1 - 2010/2
N2 - In this paper, we propose a new steganalytic method to detect the message hidden in a black and white image using the steganographic technique developed by Liang, Wang and Zhang. Our detection method estimates the length of hidden message embedded in a binary image. Although the hidden message embedded is visually imperceptible, it changes some image statistic (such as inter-pixels correlation). Based on this observation, we first derive the 512 patterns histogram from the boundary pixels as the distinguishing statistic, then we compute the histogram difference to determine the changes of the 512 patterns histogram induced by the embedding operation. Finally we propose histogram quotient to estimate the length of the embedded message. Experimental results confirm that the proposed method can effectively and reliably detect the length of the embedded message.
AB - In this paper, we propose a new steganalytic method to detect the message hidden in a black and white image using the steganographic technique developed by Liang, Wang and Zhang. Our detection method estimates the length of hidden message embedded in a binary image. Although the hidden message embedded is visually imperceptible, it changes some image statistic (such as inter-pixels correlation). Based on this observation, we first derive the 512 patterns histogram from the boundary pixels as the distinguishing statistic, then we compute the histogram difference to determine the changes of the 512 patterns histogram induced by the embedding operation. Finally we propose histogram quotient to estimate the length of the embedded message. Experimental results confirm that the proposed method can effectively and reliably detect the length of the embedded message.
UR - http://www.scopus.com/inward/record.url?scp=77952350319&partnerID=8YFLogxK
U2 - 10.1109/ARES.2010.65
DO - 10.1109/ARES.2010.65
M3 - Conference proceeding contribution
AN - SCOPUS:77952350319
SN - 9781424458790
SP - 683
EP - 688
BT - 2010 International Conference on Availability, Reliability and Security (ARES 2010)
PB - Institute of Electrical and Electronics Engineers (IEEE)
CY - Piscataway, N.J.
T2 - 5th International Conference on Availability, Reliability, and Security, ARES - 2010
Y2 - 15 February 2010 through 18 February 2010
ER -