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 language | English |
|---|---|
| Title of host publication | 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 |
| Pages | 1-4 |
| DOIs | |
| Publication status | Published - 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 9781538647912Organising Body: Institute of Electrical and Electronics Engineers
Organising Body: Institute of Electrical and Electronics Engineers
Keywords
- Electrical and electronic engineering
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Using image steganography for providing enhanced medical data security
Usman, A. & Usman, M. R., 13 Jan 2018.Research output: Contribution to conference › Paper › peer-review
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