IFACNN: efficient DDoS attack detection based on improved firefly algorithm to optimize convolutional neural networks

IFACNN: efficient DDoS attack detection based on improved firefly algorithm to optimize convolutional neural networks

Network security has become considerably essential because of the expansion of internet of things (IoT) devices. One of the greatest hazards of today's networks is distributed denial of service (DDoS) attacks, which could destroy critical network services. Recent numerous IoT devices are unsusp...

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Bibliographic Details
Main Authors: Jiushuang Wang, Ying Liu, Huifen Feng
Format: Article
Language:English
Published: AIMS Press 2022-01-01
Series:Mathematical Biosciences and Engineering
Subjects:
software-defined internet of things
distributed denial of service
firefly algorithm
convolutional neural network
detect attacks
Online Access:https://www.aimspress.com/article/doi/10.3934/mbe.2022059?viewType=HTML

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https://www.aimspress.com/article/doi/10.3934/mbe.2022059?viewType=HTML

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