Hybrid image encryption scheme for secure E-health systems
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Hybrid models enhance the computational efficiency of the system by reducing the time taken to perform encryption and decryption.
“In addition, hybrid models enhance the computational efficiency of the system by reducing the time taken to perform encryption and decryption, thus allowing for instant data access over the network [16].”
From A hybrid encryption algorithm based on AES and Kyber for secure image protection in the post-quantum era (2026) · cites this paper as [16]
Hybrid models increase the security of the system by employing different types of ciphers, making it difficult for the adversary to decode the message.
“This strategy increases the security of the system by employing different types of ciphers, which makes it difficult for the adversary to decode the message [16].”
From A hybrid encryption algorithm based on AES and Kyber for secure image protection in the post-quantum era (2026) · cites this paper as [16]
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References 20 · Cited by 25
- Authors
- Elamir, M. M., Al-atabany, W. I., & Mabrouk, M. S.
- Affiliations
- Helwan University (EG)
- Misr University for Science and Technology (EG)
- Corresponding author
- Elamir, Mona M.
- Venue
- Network Modeling Analysis in Health Informatics and Bioinformatics
- Published
- 2021-05-08
- Volume
- 10
- Issue
- 1
- ISSN
- 2192-6670 (ISSN-L)
- 2192-6662
- OpenAlex
- W3164225583
- Cited by
- 25
- References
- 20
- Citations by year
- 2026: 4 · 2025: 4 · 2024: 8 · 2023: 4 · 2022: 3 · 2021: 2
- FWCI
- 1.48
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Network Modeling Analysis in Health Informatics and Bioinformatics (publishedVersion)
- Topics
- Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Chaos-based Image/Signal Encryption
- Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Advanced Steganography and Watermarking Techniques
- Physical Sciences › Computer Science › Artificial Intelligence › Computer Science and Engineering
- Keywords
- image encryption, DNA computing, e-health security, patient privacy, least significant bit embedding, chaotic maps, DNA encoding, medical image steganography, image compression, X-ray images, CT images, MRI images
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