scholar.google.com › citations
Mar 23, 2022 · In this work, a One-Dimensional Convolutional Neural Network (1D-CNN) is used to protect the controller evaluating entropy information.
We propose in this paper a near real-time SDN security system that both prevents DDoS attacks on the source-end network and protects the sources SDN controller ...
The experimental results manifest that the proposed approach achieves very high enhancements in terms of accuracy, precision, recall, F1 score, and Receiver ...
One-Dimensional Convolutional Neural Network for Detection and Mitigation of DDoS Attacks in SDN. https://doi.org/10.1007/978-3-030-98978-1_2 ·.
Sep 25, 2023 · This paper proposes an innovative and optimized approach that effectively combines mininet, Ryu controller, and one dimensional-convolutional neural network (1 ...
The experimental results manifest that the proposed approach achieves very high enhancements in terms of accuracy, precision, recall, F1 score, and Receiver ...
Nov 29, 2023 · We proposed a deep neural network (DNN) model for the detection of DDoS attacks in the Software-Defined Networking (SDN) paradigm. SDN ...
The proposed “OptMLP-CNN” is a comprehensive model developed to enhance the detection of DDoS attacks within SDN environments. It leverages a combination of ...
Missing: Dimensional | Show results with:Dimensional
Jul 16, 2024 · This paper proposes a two-stage detection and mitigation method for DDoS attacks in SDN based on multi-dimensional characteristics.
People also ask
What is DDoS attack in SDN?
What type of attacks does Imperva's DDoS protection mitigate?
What is semi supervised machine learning approach for DDoS detection?
How do you detect a DDoS attack?
Jan 7, 2024 · CNN and single-hidden layered feedforward neural networks ELM both have numerous advantageous properties, Thus,. CNN and ELM are coupled to ...