Image-Adaptive steganalysis for LSB Matching steganography

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Resumen

This paper proposes an image-Adaptive steganalysis algorithm for LSB-Matching steganography. In the proposed method, the content features of the input image are analyzed in order to obtain a classification composed by plain and non-plain regions. In this context, only the plain regions of the input image are considered to determine if the image contains or not hidden information. The experimental results show that the proposed steganalysis algorithm outperforms the conventional LSB-Matching steganalysis algorithms in terms of detection performance and the same time minimizes the inter-database error. The results are shown through the ROC curves that illustrate a better performance of the proposed algorithm.

Idioma originalInglés
Título de la publicación alojada2016 39th International Conference on Telecommunications and Signal Processing, TSP 2016
EditoresNorbert Herencsar
EditorialInstitute of Electrical and Electronics Engineers Inc.
Páginas478-483
Número de páginas6
ISBN (versión digital)9781509012886
DOI
EstadoPublicada - 28 nov. 2016
Evento39th International Conference on Telecommunications and Signal Processing, TSP 2016 - Vienna, Austria
Duración: 27 jun. 201629 jun. 2016

Serie de la publicación

Nombre2016 39th International Conference on Telecommunications and Signal Processing, TSP 2016

Conferencia

Conferencia39th International Conference on Telecommunications and Signal Processing, TSP 2016
País/TerritorioAustria
CiudadVienna
Período27/06/1629/06/16

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