We evaluate the statistical visibility of information hiding algorithms based on the coefficient of kurtosis , differential entropy , goodness of fit test and kullback entropy . on these bases some methodologies are suggested to defend against statistical steganalysis 重點(diǎn)研究了含密序列統(tǒng)計(jì)可見性的定量評(píng)估,提出了基于峰度系數(shù)和微分墑的偏態(tài)評(píng)估、基于擬和優(yōu)度檢驗(yàn)的統(tǒng)計(jì)可見性評(píng)估和基于鑒別信息的統(tǒng)計(jì)可見性評(píng)估。