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Optimized MLP-CNN Model to Enhance Detecting DDoS Attacks in SDN Environment

https://doi.org/10.3390/network3040024
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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1002/cpe.6919openalex-snapshot
An ensemble method for feature selection and an integrated approach for mitigation of distributed denial of service attacks
inferredcites →https://doi.org/10.1002/cpe.7299openalex-snapshot
Performance evaluation of machine learning models for distributed denial of service attack detection using improved feature selection and hyper‐parameter optimization techniques
inferredcites →https://doi.org/10.1002/ett.4729openalex-snapshot
Prevention of DDoS attacks using an optimized deep learning approach in blockchain technology
inferredcites →https://doi.org/10.1002/ett.4827openalex-snapshot
An efficient approach to detect distributed denial of service attacks for software defined internet of things combining autoencoder and extreme gradient boosting with feature selection and hyperparameter tuning optimization
inferredcites →https://doi.org/10.1007/s11042-022-13820-0openalex-snapshot
The effect of choosing optimizer algorithms to improve computer vision tasks: a comparative study
inferredcites →https://doi.org/10.1007/s11042-023-16781-0openalex-snapshot
A comprehensive survey on low-rate and high-rate DDoS defense approaches in SDN: taxonomy, research challenges, and opportunities
inferredcites →https://doi.org/10.1007/s11277-023-10344-0openalex-snapshot
Design and Development of Consensus Activation Function Enabled Neural Network-Based Smart Healthcare Using BIoT
inferredcites →https://doi.org/10.1007/s12652-021-02907-5openalex-snapshot
A feature reduction based reflected and exploited DDoS attacks detection system
inferredcites →https://doi.org/10.1016/j.ceh.2020.11.002openalex-snapshot
An anatomization on breast cancer detection and diagnosis employing multi-layer perceptron neural network (MLP) and Convolutional neural network (CNN)
inferredcites →https://doi.org/10.1016/j.comnet.2021.108498openalex-snapshot
A generalized machine learning model for DDoS attacks detection using hybrid feature selection and hyperparameter tuning
inferredcites →https://doi.org/10.1016/j.comnet.2022.109269openalex-snapshot
An integrated approach explaining the detection of distributed denial of service attacks
inferredcites →https://doi.org/10.1016/j.cose.2022.102748openalex-snapshot
A new DDoS attacks intrusion detection model based on deep learning for cybersecurity
inferredcites →https://doi.org/10.1016/j.eswa.2022.117500openalex-snapshot
Recognition of DDoS attacks on SD-VANET based on combination of hyperparameter optimization and feature selection
inferredcites →https://doi.org/10.1016/j.future.2022.02.006openalex-snapshot
A feature selection-based method for DDoS attack flow classification
inferredcites →https://doi.org/10.1016/j.inffus.2018.11.010openalex-snapshot
Short-long term anomaly detection in wireless sensor networks based on machine learning and multi-parameterized edit distance
inferredcites →https://doi.org/10.1016/j.inffus.2022.09.026openalex-snapshot
Fusion of statistical importance for feature selection in Deep Neural Network-based Intrusion Detection System
inferredcites →https://doi.org/10.1016/j.jestch.2022.101176openalex-snapshot
Detecting flooding DDoS attacks in software defined networks using supervised learning techniques
inferredcites →https://doi.org/10.1016/j.micpro.2022.104571openalex-snapshot
On improving the performance of DDoS attack detection system
inferredcites →https://doi.org/10.1016/j.procs.2020.09.292openalex-snapshot
Walking Cycle and Walking Phases Extraction from Videos using Transfer Learning
inferredcites →https://doi.org/10.1109/accai53970.2022.9752607openalex-snapshot
Towards a secure Software Defined Network with Adaptive Mitigation of DDoS attacks by Machine Learning Approaches
inferredcites →https://doi.org/10.1109/access.2019.2953565openalex-snapshot
FWFS: Selecting Robust Features Towards Reliable and Stable Traffic Classifier in SDN
inferredcites →https://doi.org/10.1109/access.2020.3022633openalex-snapshot
InSDN: A Novel SDN Intrusion Dataset
inferredcites →https://doi.org/10.1109/ccnc49033.2022.9700569openalex-snapshot
Towards an Optimal Feature Selection Method for AI-Based DDoS Detection System
inferredcites →https://doi.org/10.1109/ccst.2019.8888419openalex-snapshot
Developing Realistic Distributed Denial of Service (DDoS) Attack Dataset and Taxonomy
inferredcites →https://doi.org/10.1109/iccwamtip56608.2022.10016507openalex-snapshot
Feature Modeling and Dimensionality Reduction to Improve ML-Based DDOS Detection Systems in SDN Environment
inferredcites →https://doi.org/10.1109/noms54207.2022.9789763openalex-snapshot
Improving DDoS Attack Detection Leveraging a Multi-aspect Ensemble Feature Selection
inferredcites →https://doi.org/10.1109/tccn.2022.3186331openalex-snapshot
A Flow-Based Anomaly Detection Approach With Feature Selection Method Against DDoS Attacks in SDNs
inferredcites →https://doi.org/10.1109/tnnls.2021.3084827openalex-snapshot
A Survey of Convolutional Neural Networks: Analysis, Applications, and Prospects
inferredcites →https://doi.org/10.3390/app13053183openalex-snapshot
Machine Learning Techniques to Detect a DDoS Attack in SDN: A Systematic Review
inferredcites →https://doi.org/10.3390/math11092145openalex-snapshot
Detection of Unknown DDoS Attack Using Convolutional Neural Networks Featuring Geometrical Metric
inferredcites →https://doi.org/10.3390/network2040036openalex-snapshot
Detection of Malicious Network Flows with Low Preprocessing Overhead
inferredcites →https://doi.org/10.3390/network3010008openalex-snapshot
A Federated Learning-Based Approach for Improving Intrusion Detection in Industrial Internet of Things Networks
inferredcites →https://doi.org/10.3390/s22239144openalex-snapshot
Towards an Optimized Ensemble Feature Selection for DDoS Detection Using Both Supervised and Unsupervised Method
inferredcites →https://doi.org/10.3390/s23031162openalex-snapshot
Two-Step Approach for Occupancy Estimation in Intensive Care Units Based on Bayesian Optimization Techniques
inferredcites →https://doi.org/10.3390/su12031035openalex-snapshot
Detecting DDoS Attacks in Software-Defined Networks Through Feature Selection Methods and Machine Learning Models

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.1002/dac.70243openalex-snapshot
ResADM‐GhostNet With Spider Wasp Optimizer: A Real‐Time DDoS Detection Framework for Vehicular Networks
inferred← citeshttps://doi.org/10.1007/978-3-032-12930-7_15openalex-snapshot
A Multi-layer Perceptron Approach for Detecting Network-Layer Attacks in IoT Networks
inferred← citeshttps://doi.org/10.1007/978-981-95-0788-7_16openalex-snapshot
Distributed Denial of Service Anomaly Detection in Software Defined Networks Using an Ensemble of Deep Learning Methods
inferred← citeshttps://doi.org/10.1007/s10207-026-01232-2openalex-snapshot
Enhancing software-defined network security with deep learning: a comprehensive review
inferred← citeshttps://doi.org/10.1007/s10586-024-05003-3openalex-snapshot
A novel CNN-enhanced detection and mitigation of DDoS attacks in SDN
inferred← citeshttps://doi.org/10.1007/s11277-026-12064-7openalex-snapshot
SBC2TM: Stochastic Foraging Movement Optimized-Bottleneck Cross Attention-based Deep Learning Model for DDoS Attack Detection in IoT Networks
inferred← citeshttps://doi.org/10.1007/s40998-026-01146-8openalex-snapshot
A Cooperative DDoS Attack Detection Scheme based on Adaptive Residual Capsule Network with Novel Loss Function in Software Defined Networking
inferred← citeshttps://doi.org/10.1016/j.compeleceng.2024.109827openalex-snapshot
A novel Distributed Denial of Service attack defense scheme for Software-Defined Networking using Packet-In message and frequency domain analysis
inferred← citeshttps://doi.org/10.1016/j.csi.2024.103845openalex-snapshot
Detection of DDoS attacks in SDN-based VANET using optimized TabNet
inferred← citeshttps://doi.org/10.1016/j.eswa.2025.128469openalex-snapshot
Deep learning techniques for DDoS attack detection: Concepts, analyses, challenges, and future directions
inferred← citeshttps://doi.org/10.1016/j.jestch.2026.102290openalex-snapshot
Supervised and deep learning techniques for DDoS detection in software-defined network architectures: a systematic review
inferred← citeshttps://doi.org/10.1016/j.jnca.2024.103928openalex-snapshot
Detecting DDoS based on attention mechanism for Software-Defined Networks
inferred← citeshttps://doi.org/10.1016/j.jnca.2024.104081openalex-snapshot
A comprehensive plane-wise review of DDoS attacks in SDN: Leveraging detection and mitigation through machine learning and deep learning
inferred← citeshttps://doi.org/10.1016/j.neucom.2026.134416openalex-snapshot
DDoS attacks and detection in smart grids: A systematic survey of threat models, detection methods, and cyber-physical impact
inferred← citeshttps://doi.org/10.1016/j.rineng.2026.113552openalex-snapshot
Attention Driven Hybrid Deep Representation Learning Model for Intrusion Detection in Software Defined Networks Environment
inferred← citeshttps://doi.org/10.1093/comjnl/bxaf021openalex-snapshot
A new DDoS attack detection model based on improved stacked autoencoder and gated recurrent unit for software defined network
inferred← citeshttps://doi.org/10.1108/aci-07-2025-0278openalex-snapshot
Developing realistic distributed denial-of-service (DDoS) attack dataset for software-defined networking (SDN)
inferred← citeshttps://doi.org/10.1109/access.2024.3401853openalex-snapshot
Tackling Evolving Botnet Threats: A Gradual Self-Training Neural Network Approach
inferred← citeshttps://doi.org/10.1109/ainit65432.2025.11035872openalex-snapshot
A Novel Attention-Based CNN for Robust DDoS Attack Detection in IoT Smart Homes
inferred← citeshttps://doi.org/10.1109/asiancon62057.2024.10838034openalex-snapshot
An Explanatory Machine Learning Method for the Identification of DDoS Attacks in SDN Architectures
inferred← citeshttps://doi.org/10.1109/iccit64611.2024.11022440openalex-snapshot
Deep Learning-Based DDoS Detection in SDN Networks with Explainable AI Transparency
inferred← citeshttps://doi.org/10.1109/iccpct70290.2026.11654909openalex-snapshot
Intelligent DDOS Detection in Software-Defined Networks Using Graph Neural Networks with Grasshopper Optimization
inferred← citeshttps://doi.org/10.1109/iccsp60870.2024.10543711openalex-snapshot
Cybersecurity Analysis Through Shapley Values for a Network Traffic Dataset of Android Malware
inferred← citeshttps://doi.org/10.1109/iccwamtip60502.2023.10387071openalex-snapshot
Toward Delegating the Detection of DDOS Attacks to the SDN Data Plane: A Security Perspective
inferred← citeshttps://doi.org/10.1109/iccwamtip60502.2023.10387104openalex-snapshot
Combination of Hybrid Feature Selection and LSTM-AE Neural Network for Enhancing DDOS Detection in SDN
inferred← citeshttps://doi.org/10.1109/icict64387.2024.10839660openalex-snapshot
Enhancing Transparency in DDoS Detection on SDN Using Explainable ML Models
inferred← citeshttps://doi.org/10.1109/icnc-fskd64080.2024.10702252openalex-snapshot
DDoS Detection and Defense Based on FLAD and SDN
inferred← citeshttps://doi.org/10.1109/icsintesa62455.2024.10748072openalex-snapshot
Detection of DDoS Attack on Software-Defined Networking Controller Using Convolutional Neural Networks
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A Comparative Study on Challenges and Solutions on Product Classification Based on Data Virtualization
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An Adaptive Feature-Aware Feed-Forward Neural Network for Intelligent Network Intrusion Detection
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A Task-Label-Free Domain-Incremental Learning Framework for DDoS Detection in the Internet of Things
inferred← citeshttps://doi.org/10.1109/netsoft64993.2025.11080612openalex-snapshot
Image-Based Frequency-Domain Analysis for Robust DDoS Detection in SDN
inferred← citeshttps://doi.org/10.12720/jait.17.3.596-610openalex-snapshot
Evaluating Machine Learning Models for DDoS Detection in SDNs
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Distributed Denial of Services (DDoS) attack detection in SDN using Optimizer-equipped CNN-MLP
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Enhancing Threat Detection in Financial Cyber Security Through Auto Encoder-MLP Hybrid Models
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Detecting and explaining anomalies in industrial Internet of things systems using an autoencoder
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Detection of DDoS Attack using Machine Learning Algorithms
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Unseen Attack Detection in Software-Defined Networking Using a BERT-Based Large Language Model
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A Stacking-Based Ensemble Model for Multiclass DDoS Detection Using Shallow and Deep Machine Learning Algorithms
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Method for Detecting Low-Intensity DDoS Attacks Based on a Combined Neural Network and Its Application in Law Enforcement Activities
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Persian Eagle: A Hybrid Machine Learning and Deep Learning Framework for High-Precision DDoS Detection in Urban Digital Infrastructures
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Eye-Net: A Low-Complexity Distributed Denial of Service Attack-Detection System Based on Multilayer Perceptron
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Improvement of Distributed Denial of Service Attack Detection through Machine Learning and Data Processing
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Reinforcing Network Security: Network Attack Detection Using Random Grove Blend in Weighted MLP Layers
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Reflective Distributed Denial of Service Detection: A Novel Model Utilizing Binary Particle Swarm Optimization—Simulated Annealing for Feature Selection and Gray Wolf Optimization-Optimized LightGBM Algorithm
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MÔ HÌNH HỌC SÂU LONG SHORT-TERM MEMORY PHÁT HIỆN TẤN CÔNG DDOS
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