<abstract xmlns="http://www.w3.org/1999/xhtml"><p> Novel image steganalytic method used to detection of secret message in static images is introduced in this paper. This method is based on statistical steganalysis (SS), where statistical vector is composed by 285 statistical features (parameters) extracted from DCT (Discrete Cosine Transformation) domain and 46 features extracted mainly from DWT (Discrete Wavelet Transformation) domain. Classification process was realized by Ensemble classifier that was helpful in reduction of computational and time complexity. Proposed steganalytic method was verified by detection of popular image steganographic methods. Novel method was also compared with existing steganalytic methods by overall detection accuracy of a secret message.</p></abstract>

Novel image steganalytic method used to detection of secret message in static images is introduced in this paper. This method is based on statistical steganalysis (SS), where statistical vector is composed by 285 statistical features (parameters) extracted from DCT (Discrete Cosine Transformation) domain and 46 features extracted mainly from DWT (Discrete Wavelet Transformation) domain. Classification process was realized by Ensemble classifier that was helpful in reduction of computational and time complexity. Proposed steganalytic method was verified by detection of popular image steganographic methods. Novel method was also compared with existing steganalytic methods by overall detection accuracy of a secret message.

Universal statistical steganalytic method

Journal of Electrical Engineering

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

{"article-title":"Universal statistical steganalytic method"}

Novel image steganalytic method used to detection of secret message in static images is introduced in this paper. This method is based on statistical...

Universal statistical steganalytic method

Online veröffentlicht: 11. Mai 2017

Seitenbereich: 117 - 124

Eingereicht: 23. Dez. 2016

DOI: https://doi.org/10.1515/jee-2017-0016

Schlüsselwörter
steganalysis, ensemble classifier, detection, DWT, DCT, statistical features

© Faculty of Electrical Engineering and Information Technology, Slovak University of Technology

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

Universal statistical steganalytic method

Online veröffentlicht: 11. Mai 2017

Seitenbereich: 117 - 124

Eingereicht: 23. Dez. 2016

DOI: https://doi.org/10.1515/jee-2017-0016

Schlüsselwörtersteganalysis, ensemble classifier, detection, DWT, DCT, statistical features

© Faculty of Electrical Engineering and Information Technology, Slovak University of Technology

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

Schlüsselwörter
steganalysis, ensemble classifier, detection, DWT, DCT, statistical features