Confusion matrix.

<div><p>This paper examines the escalating challenge of detecting cyber-attacks within Internet of Things (IoT) networks, where conventional security measures often falter in addressing the speed and complexity of contemporary threats. In response to the necessity for more precise, effic...

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Main Author:	Quxi Kuang (22493270) (author)
Other Authors:	Xianglin Kuang (22493273) (author)
Published:	2025
Subjects:	Biotechnology Biological Sciences not elsewhere classified Information Systems not elsewhere classified support vector machines attacks within internet artificial neural network ann ), achieving adaptive security solutions 7 %, precision deep learning models 93 %, recall various cyber threats deep learning 93 %, contemporary threats detecting cyber 93 %. xlink "> time detection robust solution research contributes paper examines marquardt algorithm highly suitable findings indicate escalating challenge based approach attack detection accuracy rate
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Confusion matrix.

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