Secure eHealth: A Secure eHealth System to Detect COVID Using Image Steganography
Author | Subramanian, Nandhini |
Author | Elharrouss, Omar |
Author | Al-Maadeed, Somaya |
Available date | 2020-10-22T06:07:20Z |
Publication Date | 2020 |
Publication Name | Qatar University Annual Research an Exhibition 2020 (quarfe) |
Abstract | COVID is a pandemic which has spread to all parts of the world. Detection of COVID infection is crucial to prevent the spread further. Contactless health care systems are essential which can be implemented with Cloud computing. Privacy and security of the medical image data transferred through untrusted channels cannot be ensured. The main aim is to secure the medical details when transferring them from the end device to the cloud and vice versa using image steganography. The medical lung images are masked under a normal and natural cover images. |
Language | en |
Publisher | Qatar University Press |
Subject | Image Steganography Secure Ehealth Deep Learning Cloud Computing |
Type | Poster |
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COVID-19 Research [835 items ]
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Theme 5: Covid-19 Research [32 items ]