The statistical models and features of natural texts was analyzed

and it was pointed out that embedding mes-sages in texts will change the features of them.According to the changes

a blind detecting method was designed using AdaBoost.Five basic parameters of texts was extracted as distinguished feature vectors to discriminate natural texts and stego-texts effectively using AdaBoost.Experimental results show the high accuracy and reliability of the method.