Innovative data security model using forensic audio video steganography for improving hidden data security and robustness

Abstract

Data embedding using steganography is not a major issue but recovery of hidden data in a secured way without degradation of both original and secret data are the major problem. To the best of our knowledge many researchers are working on image steganography using exploited modified direction (EMD) algorithm to improve the hiding capacity and security. But nowadays internet is mostly popular due to Facebook, YouTube and WhatsApp which consists of videos; hence in this paper we have proposed a combination of video crypto-steganography and digital forensic technique using modified general EMD (MGEMD) algorithm for enhancing the embedding capacity and security of secret data. We have embedded the secret data as an image and audio behind the selected frames of video and obtained the key security parameters using forensic technique to improve the hiding capacity and the data security which is found to be better than any other existing methods.