Usman, Arslan and Usman, Muhammad Rehan (2018) Using image steganography for providing enhanced medical data security. In: 2018 15th IEEE Annual Consumer Communications & Networking Conference (CCNC); 12-15 Jan 2018, Las Vegas, U.S..
Abstract
Recently, image steganography is being considered as an alternative method for securing medical data to avoid medical related cybercrimes. This paper proposes a new image steganography approach for securing medical data. Swapped Huffman tree coding is used to apply lossless compression and manifold encryption to the payload before embedding into the cover image. Additionally, only edge regions of the cover image are used to embed the secret data which offers high imperceptibility. The results show that the proposed method ensures confidentiality and secrecy of patient information while maintaining imperceptibility.
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