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ML‐IDSDN: Machine learning based intrusion detection system for software‐defined network

https://doi.org/10.1002/cpe.7438
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Outgoing claims: the papers this work cites, builds on, or argues with.

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Pearson’s Correlation Coefficient
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KNN Model-Based Approach in Classification
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Security in SDN: A comprehensive survey
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Fundamentals of Recurrent Neural Network (RNN) and Long Short-Term Memory (LSTM) network
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On the Optimality of the Simple Bayesian Classifier under Zero-One Loss
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Learning representations by back-propagating errors
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Deep learning‐based pilot‐assisted channel state estimator for OFDM systems
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Support vector machines
inferredcites →https://doi.org/10.1109/access.2020.3022633openalex-snapshot
InSDN: A Novel SDN Intrusion Dataset
inferredcites →https://doi.org/10.1109/ccdc.2018.8407425openalex-snapshot
Activation functions and their characteristics in deep neural networks
inferredcites →https://doi.org/10.1109/icacci.2017.8126031openalex-snapshot
Detection of distributed denial of service attacks using machine learning algorithms in software defined networks
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SVM kernel functions for classification
inferredcites →https://doi.org/10.1109/icctac.2018.8370397openalex-snapshot
Ryu controller's scalability experiment on software defined networks
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Random decision forests
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A machine learning approach to improve congestion control over wireless computer networks
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An Intelligent Software defined Network Controller for preventing Distributed Denial of Service Attack
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Study the Influence of Normalization/Transformation process on the Accuracy of Supervised Classification
inferredcites →https://doi.org/10.1109/iscc.2017.8024623openalex-snapshot
Flow-based Intrusion Detection System for SDN
inferredcites →https://doi.org/10.1109/mcom.2014.6829966openalex-snapshot
Interfaces, attributes, and use cases: A compass for SDN
inferredcites →https://doi.org/10.1109/wccais.2014.6916572openalex-snapshot
Feature-based comparison and selection of Software Defined Networking (SDN) controllers
inferredcites →https://doi.org/10.1111/j.1753-4887.1977.tb06618.xopenalex-snapshot
RESEARCH ON OBESITY
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XGBoost
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Stanford encyclopedia of philosophy
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A DDoS Attack Detection Method Based on SVM in Software Defined Network
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Advanced Support Vector Machine- (ASVM-) Based Detection for Distributed Denial of Service (DDoS) Attack on Software Defined Networking (SDN)
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The Anomaly- and Signature-Based IDS for Network Security Using Hybrid Inference Systems
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Detecting DDoS Attacks in Software-Defined Networks Through Feature Selection Methods and Machine Learning Models
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