Universal statistical steganalytic method

Abstract

Novel image steganalytic method used to detection of secret message in static images is introduced in this paper. This method is based on statistical steganalysis (SS), where statistical vector is composed by 285 statistical features (parameters) extracted from DCT (Discrete Cosine Transformation) domain and 46 features extracted mainly from DWT (Discrete Wavelet Transformation) domain. Classification process was realized by Ensemble classifier that was helpful in reduction of computational and time complexity. Proposed steganalytic method was verified by detection of popular image steganographic methods. Novel method was also compared with existing steganalytic methods by overall detection accuracy of a secret message.

An Image Encryption Algorithm Using Logistic Map with Plaintext-Related Parameter Values

“…The theoretical boundary of H is the same as the color depth of the investigated color plane or grayscale image. The higher values of entropy mean that the color plane or grayscale image is closer to an ideal source of random information [54].…”