A divergent audio steganographic slant for massive data set

Audio Stcganography is a proccss used to transmit hidden information by modifying an audio signal in an indiscernible manner. It is the science of hiding some surreptitious text or audio information in a host message. The goal of Audio steganographic technique is to embed data in audio cover file that must be robust and resistant to malicious attacks.Embedding secret messages in digital sound is a grimmer process. Human visual system is less sensitivecompared to human auditory system paving way for successful technological benchmarks in audio steganography than of image. The present study aims to deduce an improved audio steganographic technique to verify privacy in data transmission. Stcganography is well done with standard images so far as it is abundantin repository but this scheme suffers in case of hiding huge files. The proposed method counterparts this setback well enough on verification.