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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Vydáno v:	Neurocomputing (Amsterdam) Ročník 656; s. 131537
Hlavní autoři:	Veerasekharreddy, Bhumireddypalli, Chinniah, P., Rao, P. Varaprasada, Arunachalam, Krishna Prakash
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Elsevier B.V 01.12.2025
Témata:	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
On-line přístup:	Získat plný text
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