A FeedForward–Convolutional Neural Network to detect low-rate DoS in IoT

A FeedForward–Convolutional Neural Network to detect low-rate DoS in IoT

The lack of standardization and the heterogeneous nature of the Internet of Things (IoT) has exacerbated the issue of security and privacy. In literature, to improve security at the network layer of the IoT architecture, the possibility of using Software-Defined Networking (SDN) was explored. SDN is...

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Bibliographic Details
Main Authors: Ilango, Harun Surej, Ma, Maode, Su, Rong
Other Authors: School of Electrical and Electronic Engineering
Format: Journal Article
Language:English
Published: 2023
Subjects:
Engineering
Engineering::Electrical and electronic engineering
Engineering::Electrical and electronic engineering::Wireless communication systems
Engineering::Computer science and engineering::Computing methodologies::Artificial intelligence
Internet of Things
Software-Defined Networking
Deep Learning
Low-Rate DoS Attacks
CIC DoS 2017
Anomaly Detection
Network Security
Online Access:https://hdl.handle.net/10356/167102

Internet

https://hdl.handle.net/10356/167102

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