Deep learning for medical image cryptography: A comprehensive review

K Lata, LR Cenkeramaddi - Applied Sciences, 2023 - mdpi.com
Electronic health records (EHRs) security is a critical challenge in the implementation and
administration of Internet of Medical Things (IoMT) systems within the healthcare sector's …

Federated convolutional model with cyber blockchain in medical image encryption using Multiple Rossler lightweight Logistic sine map**

S Qamar - Computers and Electrical Engineering, 2023 - Elsevier
Doctors' ability to diagnose and treat patients will be facilitated by the Internet of Medical
Things (IoMT), which can connect a variety of medical imaging devices to medical data …

Holographic encryption algorithm based on DNA coding and bit-plane decomposition

Z Liang, L Chen, K Chen, Z Liang, K Wen… - Multimedia Tools and …, 2024 - Springer
In recent years, encryption algorithms have undergone rapid development, finding extensive
applications across diverse industries. In the pursuit of enhancing the security of image …

Novel encryption method for color images based on cross-channel substitution and permutation using an improved two-dimensional Henon map (2D IHM)

AJ Vithayathil, A Sreekumar - Nonlinear Dynamics, 2024 - Springer
This paper introduces symmetric chaos-based image encryption, incorporating innovative
cross-channel substitution permutation techniques using an improved Henon map. Initially …

Biomedical image security

QA Al-Haija - Advances in Artificial Intelligence, 2024 - Elsevier
Biomedical image security is necessary for securing sensitive information and files when
computerized images and their appropriate patient records are communicated throughout …

Optimization of Security Identification in Power Grid Data through Advanced Encryption Standard Algorithm

B Li, M Xu, Y Zhou, H Liu… - Journal of Cyber …, 2024 - journals.riverpublishers.com
With the increasing reliance on digital technologies in power grid systems, ensuring the
security and confidentiality of data has become paramount. This study focuses on optimizing …

Secure Image Reconstruction using Deep Learning-based Autoencoder with Integrated Encryption Layers

W Abd Ali - Wasit Journal of Computer and Mathematics …, 2024 - wjcm.uowasit.edu.iq
This study presents an autoencoder model designed for secure image reconstruction
through the integration of encryption and decryption layers within its framework. The major …

Deep Learning for Medical Image Cryptography: A Comprehensive Review

L Kusum, LR Cenkeramaddi - 2023 - uia.brage.unit.no
Electronic health records (EHRs) security is a critical challenge in the implementation and
administration of Internet of Medical Things (IoMT) systems within the healthcare sector's …

Secure Medical Data Transmission In Iot Healthcare: Hybrid Encryption, Post-Quantum Cryptography, And Deep Learning-Enhanced Approach

D Karthikeyan - 2023 Global Conference on Information …, 2023 - ieeexplore.ieee.org
In the realm of IoT healthcare, safeguarding medical data is of paramount importance. This
study introduces a comprehensive approach that combines hybrid encryption, post-quantum …

Complexity-Reduced Variational Auto Encoders With Bayesian Optimization for Anomaly Detection in High-Dimensional Medical Data

P Batta, AS Shete, RS Jadhav… - … Conference on Artificial …, 2023 - ieeexplore.ieee.org
Recent advances in imaging technology, along with the wealth of information provided by
genetic sequencing and complete electronic health records, are radically altering the …