Volume: 2 Issue: 1
Year: 2025, Page: 9-11, Doi: https://doi.org/10.70968/ijeaca.v2i1.D1011
Received: Feb. 22, 2025 Accepted: May 10, 2025 Published: June 18, 2025
The Internet of Things has enabled the connection of medical imaging devices to the data infrastructure of the healthcare sector. This advancement, facilitated by the IoT, will accelerate the diagnosis and treatment processes in medical care. The growing dependence on interconnected devices and cloud-based systems opens up potential vulnerabilities for cyber-attacks and unauthorized access to sensitive medical information, which not only threatens patient privacy but also poses significant risks to patient safety and trust in healthcare systems. In a public channel, IoMTS must ensure information security for protection against hacker attacks. Hence, a symmetric encryption and decryption protocol was designed to ensure infosecurity of biosignals and medical images and assist in specific purposes in disease diagnosis.
Keywords: Literature Review: Cryptography Framework using Deep Learning
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© 2025 Vyavahare & Pawar. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
Vyavahare AJ, Pawar DS.. (2025). Literature Review: Cryptography Framework using Deep Learning. International Journal of Electronics and Computer Applications. 2(1): 9-11. https://doi.org/10.70968/ijeaca.v2i1.D1011