Renovated Random Attribute-Based Fennec Fox Optimized Deep Learning Framework in Low-Rate DoS Attack Detection in IoT

The rapid progression of the Internet of Things (IoT) technology enables its application across various sectors. However, IoT devices typically acquire inadequate computing power and user interfaces, making them susceptible t... | Find, read and cite all the research you need on Tech Science Press

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Publication Details

Journal
Computers, materials & continua/Computers, materials & continua (Print)
Published
2025-01-01
DOI
https://doi.org/10.32604/cmc.2025.065260
Primary Topic
Network Security and Intrusion Detection
Type
article
Field-Weighted Citation Impact
0.00
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article

Renovated Random Attribute-Based Fennec Fox Optimized Deep Learning Framework in Low-Rate DoS Attack Detection in IoT

R Mahaveerakannan, Syarifah Bahiyah Rahayu, Prasanalakshmi Balaji, Maode Ma et al.
Computers, materials & continua/Computers, materials & continua (Print)
Network Security and Intrusion Detection
article

Renovated Random Attribute-Based Fennec Fox Optimized Deep Learning Framework in Low-Rate DoS Attack Detection in IoT

R Mahaveerakannan, Syarifah Bahiyah Rahayu, Prasanalakshmi Balaji, Maode Ma, Zhaoxi Fang, Mariyam Aysha Bivi, Sangita Babu
article en

Abstract

The rapid progression of the Internet of Things (IoT) technology enables its application across various sectors. However, IoT devices typically acquire inadequate computing power and user interfaces, making them susceptible t... | Find, read and cite all the research you need on Tech Science Press

Computers, materials & continua/Computers, materials & continua (Print)Vol. 84(3)
Openalex Percentile: Top 78%
Network Security and Intrusion Detection
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