Steganalysis method based on improved SVM
Chen Xiaozuo, Minqing Zhang, Lin Ma · Computer Engineering and Applications Journal · 2010
To enhance the speed and correct examination rate of image steganalysis,this paper provides a new steganalysis method based on the improved SVM.It uses mixture of a few features discussed by Fridrich to extract the features of images,and overcomes the shortcomings that using only one feature can not present image differences well.Then a new classification,Least Square Hyper Sphere One-Class SVM(LSHS-OCSVM) which combines least square programme and the sphere one-class SVM,is provided.Compared with FLD and nonlinear SVM widely used at present,the experiment results prove that it is an effective steganalysis method with high-speed detection.