| Abstrakt: |
A study conducted by researchers at GITAM University in Karnataka, India, explores the use of lightweight cryptographic techniques to enhance the security of medical images in IoT healthcare applications. The researchers highlight the potential risks of cyber-attacks and unauthorized access to sensitive medical data in interconnected devices and cloud-based systems. They propose a cryptography-based network for image encryption and decryption, utilizing deep learning and a key learning network based on the ResNet-50 architecture. The research concludes that this method offers a high level of security and powerful outcomes. The study has been peer-reviewed and published in Biomedical Signal Processing and Control. [Extracted from the article] |
