AUTHORS: Archana O. Vyas, Sanjay V. Dudul

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ABSTRACT: To enhance the hiding capacity and security of the well known pixel value differencing (PVD) steganographic method, a new method named Tri-way pixel value differencing (TPVD) was introduced. TPVD is a spatial domain steganographic method in which both horizontal and vertical edges of cover image are utilized for embedding. In TPVD, Use of three different directional edges of cover image for embedding makes it different from PVD, which utilizes only one direction. In this paper a novel method of TPVD steganalysis is proposed, based on the observation that, the difference value of the two sides of a normalized histogram of image under consideration if found to be a positive value other than “0”, then it can be classified as a stego image, where as if this difference is “0” it is a non stego image. The proposed steganalyser can classify test images as stego or cover with 98% accuracy when they contain any secret image. Difference in histogram is plotted for the stego and non stego images, Parameters like, True positive rate (TPR), false positive rate (FPR) and detection rate are evaluated thereafter, and a satisfactorily high value is obtained. The algorithm can be run on two stego images simultaneously, so it can be applied on bulk image data base.

KEYWORDS: Cover image, FPR, steganalysis, TPVD, TPR

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