International Journal of Information and Communication Technology Research
مجله بین المللی ارتباطات و فناوری اطلاعات
International Journal of Information and Communication Technology Research
Engineering & Technology
http://ijict.itrc.ac.ir
1
admin
2251-6107
2783-4425
doi
1652
25391
en
jalali
1389
9
1
gregorian
2010
12
1
2
4
online
1
fulltext
en
Blind Color Image Steganalysis Based on Multi-Transform Combined Features Selected by a Hybrid of ANOVA and BPSO
فناوری اطلاعات
Information Technology
پژوهشي
Research
Steganalysis techniques have been classified into two major categories: blind steganalysis which is independent of the steganography method and specific steganalysis which attempts to detect specific steganographic media. Feature extraction is an important functional block in the steganalysis systems. The features are commonly in spatial domain or extracted from transform domains such as discrete wavelet transform (DWT), discrete cosine transform (DCT) or contourlet transform (CT). In this paper, a blind color image steganalysis method based on a hybrid set of features (statistical moments, entropy, and co-occurrence matrix features) extracted from a combination of DWT, DCT, and CT is proposed. The hybrid of "analysis of variation (ANOVA)" as an open-loop feature selection method, and "binary particle swarm optimization (BPSO)" as a closed-loop one, is used in this work to improve the detection rate in tandem with significant reduction in the size of feature set. Jsteg, OutGuess, JPHS and model-based steganography methods are attacked in this work. By using the hybrid of "ANOVA+BPSO", the number of features is reduced to 13. Empirical results show that the most discriminative features in clean/stego image classification are statistical moments of co-occurrence matrix of contourlet transform. The most discriminative selected features are fed into a nonlinear support vector machine (SVM) classifier to distinguish the cover and stego images. Average detection accuracy of the proposed model is above 81 percent for the embedding-rate ranges of 5% to 25%.
Steganalysis, entropy, statistical moments, DCT, DWT, contourlet, co-occurrence matrix
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http://ijict.itrc.ac.ir/browse.php?a_code=A-10-27-215&slc_lang=en&sid=1
Mansoureh
Pezhmanpour
1003194753284600808
1003194753284600808
Yes
EE Dept. Islamic Azad University South Tehran Branch Tehran, Iran
Mansour
Sheikhan
1003194753284600809
1003194753284600809
No
EE Dept. Islamic Azad University South Tehran Branch Tehran, Iran
Mohammad Shahram
Moin
1003194753284600810
1003194753284600810
No
Multimedia Sys. Group IT Dept. Iran Telecom Research Center Tehran, Iran