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A security enhanced approach for video Steganography using K-Means clustering and direct mapping

Communication security has taken vital role with the advancement in digital communication. The universal use of internet for communication has increased the attacks to users. The security of information is the present issue related to privacy and safety during storage and communication. Cryptography and Steganography are two popular ways of sending essential information in a confidential way. Cryptography is the method of converting plain text into cipher text but in Steganography messages are converted into an encrypted format using a key and then this cipher text is hidden into an image, audio or video file as per user's choice. The information-hiding process in a steganographic system starts by identifying a cover medium's redundant bits (those that can be modified without destroying that medium's integrity). The embedding process starts with creating a stego medium by replacing these redundant bits with data from the hidden message. In this paper, we present a novel approach to resolve the remained problems such as robustness and capacity of image and video Steganography. In the proposed algorithm, message bits are clustered and grouped together using K-Means clustering and then the clustered message is embedded inside the cover medium by using direct mapping which result increase the robustness and capacity of the cover medium. The robustness specially would be increased against those intended attacks which try to reveal the hidden message and also some unintended attacks like noise addition as well.