Real-Time Mobile Decodable Data Encoding Algorithm for Video Steganography

Abstract

Steganography techniques are progressively gaining more attention among the general communities, with the recent enhancement of information security. Different kinds of steganography architectures support the implementation of advanced security systems. The existing steganography system provides many algorithms for encoding and decoding information to the cover media. Cover media can be a sound, image, video like bit-stream can encode data. However, the existing methods do not provide a way to decode such information using a mobile camera without directly accessing encoded media. Thus, despite the mobile extractable steganography model, it lost many opportunities within the real-world business domain. This dissertation investigates the feasibility of the mobile decodable video steganography method combined with the cryptography model. This study provides a QR code similar structure combined with a steganography algorithm to propose a newer algorithm to encode and decode data. That newer algorithm supports mobile extractable steganography. The proposed encoding ways, in this study, are known as ‘Hard’ and ‘Soft’ models. It integrates with videos using a prototype application. The proposed two models evaluate using an image similarity evaluation technique. PSNR, MSE, and SSIM values use as quantitative measures for evaluation. Also, security implementation evaluates using the implementation of a mobile-based video decoding application as the proof-of concept. The evaluation proposed ‘Hard’ mechanism given more robust and success probability than ‘Soft’ encode model. However, in that way, video quality more degrade. The summarizing evaluation results can say to the world as new knowledge, mobile extractable video steganography model feasible and can give newer propose algorithms to the world.