Open Access
ARTICLE
An Effective Steganalysis Algorithm for Histogram-Shifting Based Reversible Data Hiding
Junxiang Wang1, *, Lin Huang1, Ying Zhang1, Yonghong Zhu1, Jiangqun Ni2, Yunqing Shi3
1 School of Mechanical and Electronic Engineering, Jingdezhen Ceramic Institute, Jingdezhen, 333403, China.
2 School of Data and Computer Science, Sun Yat-sen University, Guangzhou, 510006, China.
3 Department of Electronics and Computer Engineering, New Jersey Institute of Technology, Newark, 07102, USA.
* Corresponding Author: Junxiang Wang. Email: .
Computers, Materials & Continua 2020, 64(1), 325-344. https://doi.org/10.32604/cmc.2020.09784
Received 18 January 2020; Accepted 10 April 2020; Issue published 20 May 2020
Abstract
To measure the security for hot searched reversible data hiding (RDH)
technique, especially for the common-used histogram-shifting based RDH (denoted as
HS-RDH), several steganalysis schemes are designed to detect whether some secret data
has been hidden in a normal-looking image. However, conventional steganalysis schemes
focused on the previous RDH algorithms, i.e., some early spatial/pixel domain-based
histogram-shifting (HS) schemes, which might cause great changes in statistical
characteristics and thus be easy to be detected. For recent improved methods, such as
some adaptive prediction error (PE) based embedding schemes, those conventional
schemes might be invalid, since those adaptive embedding mechanism would effectively
reduce the embedding trace and thus increase the difficulty of steganalysis. Therefore, a
novel steganalysis method is proposed in this paper to detect recent adaptive RDH
schemes and provide a more effective detection tool for RDH. The contributions of this
paper could be summarized as follows. (1) By analyzing the characteristics for those
adaptive HS-RDH, an effective “flat ground” based detection method is designed to fast
identify whether the given image is used to hide secret data; (2) According to the
empirical statistical model, double check mechanism is provided to improve the detection
accuracy; (3) In addition, to further improve detection ability, some detailed information
for secret data, i.e., its content and embedding location are further estimated. Compared
with conventional steganalysis methods, experimental results indicate that our proposed
algorithm could achieve a better detection accuracy and meanwhile acquire more detailed
information on secret data.
Keywords
Cite This Article
J. Wang, L. Huang, Y. Zhang, Y. Zhu, J. Ni
et al., "An effective steganalysis algorithm for histogram-shifting based reversible data hiding,"
Computers, Materials & Continua, vol. 64, no.1, pp. 325–344, 2020. https://doi.org/10.32604/cmc.2020.09784
Citations