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    • JPEG Steganalysis Based on ISODATA and SVM

    T. T. Zhu,L. N. Wang,Y. Z. Ren,M. J. Wang

    MINES '13 Proceedings of the 2013 Fifth International Conference on Multimedia Information Networking and Security（2013）

    Cited 0|Views8
    Abstract
    A novel JPEG universal steganalysis algorithm, based on ISODATA and SVM, is proposed in this paper. ISODATA clustering algorithm is employed to divide the trained images into some clusters, before the images are used to train supervised machine learning algorithms. The images of each cluster are trained by using SVM subsequently and detection model is constructed individually. The minimal distance from test images to center of cluster is used as the criterion to choose the model. The experiment shows that the detection accuracy of method based on ISODATA and SVM is better than the method used SVM only and the accuracy of steganalysis algorithm can be improved by using the ISODATA to divide the training examples sets beforehand.
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    Key words
    ISODATA clustering algorithm,steganalysis algorithm,universal steganalysis algorithm,detection accuracy,detection model,trained image,minimal distance,novel JPEG,supervised machine,test image
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