Hats 0.0216

techniques attempt to differentiate between stego-objects and cover-objects. In recent work we developed an analytic upper bound for the steganographic capacity of LSB based steganographic techniques for a given false of detection. In this paper we look at adaptive steganographic techniques. Adaptive steganographic techniques steps to escape detection. We explore different techniques that can be used to adapt message embedding to the content or to a known steganalysis technique. We investigate the advantages of adaptive steganography within an framework. We also give experimental re~ults witb a state-of-the-art steganalysis technique demonstrating that , of bits elpbedded without detection. Steganography, Steganalysis, Adaptive Steganography, RS Steganalyzer.