Innovative Data Hiding Security Model Using Forensic Audio Video Crypto-Steganography

Abstract

Secret information concealing using steganography is simple but to maintain its security, perceptibility, robustness, embedding capacity and good recovery of both cover as well as secret information are the major issues. In this paper we have applied Block Plane Coding Technique (BPCT) for concealing the secret data into the randomly obtained frames of video and Least Significant Bit (LSB) algorithm for audio of same video. We have obtained the key security parameters like Peak Signal to Noise Ratio (PSNR), Mean Square Error (MSE), Normalize Cross Correlation Factor (NCCF), Bit Error Rate (BER), histogram and spectrograph before embedding and after recovering the protected data from stego video using forensic technique to increase the data security. Moreover, the proposed scheme provides a large hiding capacity, more security for secret data and good visual recovery of both secret data and original video than any other existing methods. Through many attack during transmission on stego video, it is found that the suggested approach is more robust than any other existing methods.