Efficient medical image encryption and attack detection using hyperchaotic fibonacci polynomial convolutional neural network in IoT healthcare networks

Due to the fast expansion of IoT technology in the health-related field, secure transfer of sensitive medical data in general, and of medical images in particular, has become a major concern. Conventional detection and encryption techniques usually cannot guarantee both high security and computation...

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Veröffentlicht in:	Neurocomputing (Amsterdam) Jg. 656; S. 131537
Hauptverfasser:	Veerasekharreddy, Bhumireddypalli, Chinniah, P., Rao, P. Varaprasada, Arunachalam, Krishna Prakash
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier B.V 01.12.2025
Schlagworte:	Crayfish optimization algorithm Fibonacci Q matrix encryption Hierarchical auto-associative polynomial convolutional neural network Crayfish optimization algorithm Fibonacci Q matrix encryption Hierarchical auto-associative polynomial convolutional neural network
ISSN:	0925-2312
Online-Zugang:	Volltext
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