JPEG Image Steganalysis Method Based on the SVM Ensemble Using Double Disturbance
Kaizhi Chen · Journal of Fujian Normal University · 2013
In view of the current steganalysis method of JPEG image mainly uses a single support vector machine(SVM),existing the problem that generalization ability deteriorate and classification accuracy is difficult to improve,a new JPEG image steganalysis method is proposed based on the SVM ensemble using double disturbance.The method constructs a mixed kernel function using polynomial function and gaussian kernel function,and removes the redundan feature using principal component analysis method for feature transform.Finally member classifier is generated by disturbing feature space and model parameters,and the finial decision is made by the majority voting procedure.Experimental results show that this method effectively improves the detection rate of steganalysis in JPEG images.