Using image steganography for providing enhanced medical data security

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    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.
    Original languageEnglish
    Title of host publicationPublished in: Proceedings of the 2018 15th IEEE Annual Consumer Communications & Networking Conference (CCNC). Piscataway, U.S. : Institute of Electrical and Electronics Engineers, Inc. ISBN 9781538647912 Organising Body: Institute of Electrical and Electronics Engineers Organising Body: Institute of Electrical and Electronics Engineers
    Pages1-4
    DOIs
    Publication statusPublished - 13 Jan 2018

    Bibliographical note

    Note: Published in: Proceedings of the 2018 15th IEEE Annual Consumer Communications & Networking Conference (CCNC). Piscataway, U.S. : Institute of Electrical and Electronics Engineers, Inc. ISBN 9781538647912

    Organising Body: Institute of Electrical and Electronics Engineers

    Organising Body: Institute of Electrical and Electronics Engineers

    Keywords

    • Electrical and electronic engineering

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