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| Content Provider | Springer Nature Link |
|---|---|
| Author | Jain, Mamta Kumar, Anil |
| Copyright Year | 2016 |
| Abstract | This paper presents the novelty in sensitive data transmission of patient medical records. The secret medical data is hidden inside scanned grey medical image or magnetic resonance image using the red, green, blue, and alpha (RGBA) image and with the help of decision tree. In this technique, alpha channel will be separated from the RGBA image and merged to the medical grey image to improve the hiding capacity. RSA cryptosystem is used to encrypt the medical data, and divided into various blocks using dynamic key. In steganography process, organize the grey-alpha channel medical cover image into various blocks using dynamic key. Secret cipher blocks are assigned to grey-alpha channel medical cover image blocks using Breadth First Search and decision tree, for data embedding. Performance analysis is observed using various performance measure parameters between various medical stego and cover images. |
| Starting Page | 1695 |
| Ending Page | 1705 |
| Page Count | 11 |
| File Format | |
| ISSN | 18688071 |
| Journal | International Journal of Machine Learning and Cybernetics |
| Volume Number | 8 |
| Issue Number | 5 |
| e-ISSN | 1868808X |
| Language | English |
| Publisher | Springer Berlin Heidelberg |
| Publisher Date | 2016-05-09 |
| Publisher Place | Berlin, Heidelberg |
| Access Restriction | One Nation One Subscription (ONOS) |
| Subject Keyword | Decision tree RGB channel Grey-alpha channel Steganography Cryptography Encryption Decryption Embedding Computational Intelligence Artificial Intelligence (incl. Robotics) Control, Robotics, Mechatronics Complex Systems Systems Biology Pattern Recognition |
| Content Type | Text |
| Resource Type | Article |
| Subject | Artificial Intelligence Computer Vision and Pattern Recognition Software |
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