پديدآورندگان :
Zohourian Mehdi mehdi.zohourian@rub.de Institute of Communication Acoustics, Ruhr-Universität Bochum, Bochum, Germany , Heidari Morteza m_heidari@alum.sharif.edu Electrical Engineering Department and Electronics Research Institute, Sharif University of Technology, Tehran, Iran , Ghaemmaghami Shahrokh ghaemmag@sharif.edu Electrical Engineering Department and Electronics Research Institute, Sharif University of Technology, Tehran, Iran , Gholampour Iman imangh@sharif.edu Electrical Engineering Department and Electronics Research Institute, Sharif University of Technology, Tehran, Iran
كليدواژه :
image steganalysis , steganography , wavelet , Singular Value Decomposition , DCT.
چكيده فارسي :
A new steganalysis system for JPG-based image data hiding is proposed in this paper. We use features extracted from both wavelet and DCT domains that are refined later in the sense of utmost discrimination between the clear and stego images in the classification system. Statistical properties of the SVD of wavelet sub-bands are combined with the extended DCT-Markov features, and the features that are most sensitive to the data embedding are chosen through a SVM-RFE based selection algorithm. Experimental results show significant improvement over baseline methods, especially for steganalysis of Perturbed Quantization (PQ), which is known to be one of most secure JPGbased steganography schemes, with 90.5% average detection accuracy at low embedding rates.
