Nov 22, 2016 · We propose a deep learning based multi-vector DDoS detection system in a software-defined network (SDN) environment.
Nov 22, 2016 · We propose a deep learning based multi-vector DDoS detection system in a software-defined network (SDN) environment. SDN provides flexibility to ...
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Nov 22, 2016 · This work proposes a deep learning based multi-vector DDoS detection system in a software-defined network (SDN) environment that observes high accuracy with a ...
Dec 28, 2017 · This work proposes a deep learning based multi-vector DDoS detection system in an SDN environment. The detection system is implemented as a ...
This work proposes a deep learning based multi-vector DDoS detection system in an SDN environment. The detection system is implemented as a network application.
The deep learning (DL) algorithmic technique can be utilized to detect DDoS attacks on SDN controllers.
3 days ago · In this paper, we have built and compared two models that can be used for building a complete Intrusion Detection System(IDS) solution, one ...
This paper proposes an effective detection technique against DDoS attack in SDN control plane and data plane.
This repository contains the implementation of a DDOS attack detection system using a Software-Defined Networking (SDN) network.
Aug 6, 2022 · In this paper, a comparative analysis of Random Forest (RF), K-Nearest Neighbor (KNN), Support Vector Machine (SVM), and Naïve Bayes (NB) are done
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