Estimating hidden message length in binary image embedded by using boundary pixels steganography
Chiew, Kang Leng & Pieprzyk, Josef (2010) Estimating hidden message length in binary image embedded by using boundary pixels steganography. In Proceedings of the ARES '10 International Conference on Availability, Reliability, and Security, IEEE, Krakow, Poland, pp. 683-688.
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.
Impact and interest:
Citation counts are sourced monthly from and citation databases.
These databases contain citations from different subsets of available publications and different time periods and thus the citation count from each is usually different. Some works are not in either database and no count is displayed. Scopus includes citations from articles published in 1996 onwards, and Web of Science® generally from 1980 onwards.
Citations counts from theindexing service can be viewed at the linked Google Scholar™ search.
|Item Type:||Conference Paper|
|Keywords:||Steganalysis, Steganography, Data hiding, Binary image, Message length estimation, Histogram quotient|
|Divisions:||Current > Schools > School of Electrical Engineering & Computer Science
Current > QUT Faculties and Divisions > Science & Engineering Faculty
|Copyright Owner:||Copyright 2010 IEEE|
|Deposited On:||15 Apr 2014 00:55|
|Last Modified:||28 Apr 2014 03:31|
Repository Staff Only: item control page