Deep reinforcement learning–based reversible medical image encryption framework for secure IoMT environments

The Internet of Medical Things (IoMT) environments face significant challenges in securely transmitting and storing medical images due to limited computational resources, multiple device types, and increasing cybersecurity threats. This paper describes a reversible RGB medical image encryption frame...

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Detalles Bibliográficos

Autores principales:	K. Mahalakshmi, Sivakumar Nagarajan
Formato:	Artigo
Lenguaje:	Inglês
Publicado:	Frontiers Media S.A. 2026-06-01
Colección:	Frontiers in Artificial Intelligence
Materias:	chaotic cryptography deep reinforcement learning deterministic encryption differential attack resistance Internet of Medical Things (IoMT) medical image encryption
Acceso en línea:	https://www.frontiersin.org/articles/10.3389/frai.2026.1839687/full
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