@inproceedings{ec354430c83b4e67ba95d30271a53e2f,
title = "Binary image steganographic techniques classification based on multi-class steganalysis",
abstract = "In this paper, we propose a new multi-class steganalysis for binary image. The proposed method can identify the type of steganographic technique used by examining on the given binary image. In addition, our proposed method is also capable of differentiating an image with hidden message from the one without hidden message. In order to do that, we will extract some features from the binary image. The feature extraction method used is a combination of the method extended from our previous work and some new methods proposed in this paper. Based on the extracted feature sets, we construct our multi-class steganalysis from the SVM classifier. We also present the empirical works to demonstrate that the proposed method can effectively identify five different types of steganography.",
author = "Chiew, \{Kang Leng\} and Josef Pieprzyk",
year = "2010",
doi = "10.1007/978-3-642-12827-1\_25",
language = "English",
isbn = "3642128262",
series = "Lecture Notes in Computer Science",
publisher = "Springer, Springer Nature",
pages = "341--358",
editor = "Jin Kwak and Deng, \{Robert H.\} and Yoojae Won and Guilin Wang",
booktitle = "Information Security Practice and Experience",
address = "United States",
note = "6th International Conference on Information Security Practice and Experience, ISPEC 2010 ; Conference date: 12-05-2010 Through 13-05-2010",
}