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Unleashing the power of SDN and GNN for network anomaly detection: State‐of‐the‐art, challenges, and future directions

https://doi.org/10.1002/spy2.337
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Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1002/cpe.5402openalex-snapshot
Machine learning algorithms to detect DDoS attacks in SDN
inferredcites →https://doi.org/10.1007/978-3-030-01554-1_9openalex-snapshot
Reinforcement Learning for Autonomous Defence in Software-Defined Networking
inferredcites →https://doi.org/10.1007/978-3-030-51156-2_135openalex-snapshot
Usage of Machine Learning Algorithms for Flow Based Anomaly Detection System in Software Defined Networks
inferredcites →https://doi.org/10.1007/s10489-018-01408-xopenalex-snapshot
A new hybrid approach for intrusion detection using machine learning methods
inferredcites →https://doi.org/10.1007/s10766-017-0537-7openalex-snapshot
An Intrusion Detection Framework Based on Hybrid Multi-Level Data Mining
inferredcites →https://doi.org/10.1007/s11227-020-03323-wopenalex-snapshot
The DDoS attacks detection through machine learning and statistical methods in SDN
inferredcites →https://doi.org/10.1007/s11235-018-0475-8openalex-snapshot
A comprehensive survey on network anomaly detection
inferredcites →https://doi.org/10.1007/s12652-020-02099-4openalex-snapshot
MitM detection and defense mechanism CBNA-RF based on machine learning for large-scale SDN context
inferredcites →https://doi.org/10.1016/j.aiopen.2021.01.001openalex-snapshot
Graph neural networks: A review of methods and applications
inferredcites →https://doi.org/10.1016/j.comcom.2020.07.042openalex-snapshot
A taxonomy of blockchain-enabled softwarization for secure UAV network
inferredcites →https://doi.org/10.1016/j.comcom.2022.10.024openalex-snapshot
Network traffic anomaly detection method based on multi-scale residual classifier
inferredcites →https://doi.org/10.1016/j.comnet.2019.01.023openalex-snapshot
Internet of Things: A survey on machine learning-based intrusion detection approaches
inferredcites →https://doi.org/10.1016/j.compeleceng.2022.108466openalex-snapshot
A comprehensive survey of network traffic anomalies and DDoS attacks detection schemes using fuzzy techniques
inferredcites →https://doi.org/10.1016/j.cose.2018.11.001openalex-snapshot
Survey of machine learning techniques for malware analysis
inferredcites →https://doi.org/10.1016/j.cose.2022.102675openalex-snapshot
A systematic literature review of methods and datasets for anomaly-based network intrusion detection
inferredcites →https://doi.org/10.1016/j.eswa.2018.04.004openalex-snapshot
Web traffic anomaly detection using C-LSTM neural networks
inferredcites →https://doi.org/10.1016/j.ins.2018.01.044openalex-snapshot
Heterogeneous anomaly detection in social diffusion with discriminative feature discovery
inferredcites →https://doi.org/10.1016/j.jnca.2015.11.016openalex-snapshot
A survey of network anomaly detection techniques
inferredcites →https://doi.org/10.1016/j.jnca.2017.11.015openalex-snapshot
A survey on software defined networking with multiple controllers
inferredcites →https://doi.org/10.1016/j.jnca.2019.102526openalex-snapshot
The rise of machine learning for detection and classification of malware: Research developments, trends and challenges
inferredcites →https://doi.org/10.1016/j.jnca.2020.102630openalex-snapshot
Machine learning based solutions for security of Internet of Things (IoT): A survey
inferredcites →https://doi.org/10.1016/j.phycom.2021.101355openalex-snapshot
Blockchain and 5G integrated softwarized UAV network management: Architecture, solutions, and challenges
inferredcites →https://doi.org/10.1016/j.phycom.2022.101997openalex-snapshot
Traffic flow monitoring in software-defined network using modified recursive learning
inferredcites →https://doi.org/10.1093/comjnl/bxt044openalex-snapshot
MLH-IDS: A Multi-Level Hybrid Intrusion Detection Method
inferredcites →https://doi.org/10.1109/access.2017.2787719openalex-snapshot
An Effective Two-Step Intrusion Detection Approach Based on Binary Classification and $k$ -NN
inferredcites →https://doi.org/10.1109/access.2019.2923640openalex-snapshot
An Adaptive Ensemble Machine Learning Model for Intrusion Detection
inferredcites →https://doi.org/10.1109/access.2019.2928048openalex-snapshot
TSE-IDS: A Two-Stage Classifier Ensemble for Intelligent Anomaly-Based Intrusion Detection System
inferredcites →https://doi.org/10.1109/access.2021.3082147openalex-snapshot
A Hybrid Intrusion Detection System Based on Scalable K-Means+ Random Forest and Deep Learning
inferredcites →https://doi.org/10.1109/access.2021.3126834openalex-snapshot
Machine Learning in Network Anomaly Detection: A Survey
inferredcites →https://doi.org/10.1109/cccs.2019.8888049openalex-snapshot
Detecting Saturation Attacks in SDN via Machine Learning
inferredcites →https://doi.org/10.1109/comitcon.2019.8862186openalex-snapshot
Anomaly Detection using Graph Neural Networks
inferredcites →https://doi.org/10.1109/comst.2014.2326417openalex-snapshot
A Survey on Software-Defined Network and OpenFlow: From Concept to Implementation
inferredcites →https://doi.org/10.1109/comst.2014.2330903openalex-snapshot
A Survey on Software-Defined Networking
inferredcites →https://doi.org/10.1109/comst.2015.2474118openalex-snapshot
Security in Software Defined Networks: A Survey
inferredcites →https://doi.org/10.1109/cvpr.2017.576openalex-snapshot
Geometric Deep Learning on Graphs and Manifolds Using Mixture Model CNNs
inferredcites →https://doi.org/10.1109/iccece55162.2022.9875076openalex-snapshot
SDN/NFV Enabled Security for an Enterprise Network using Commodity Hardware
inferredcites →https://doi.org/10.1109/iccp53602.2021.9733669openalex-snapshot
Anomaly Detection in Software Defined Wireless Sensor Networks Using Recurrent Neural Networks
inferredcites →https://doi.org/10.1109/ictc49870.2020.9289378openalex-snapshot
Service Function Chaining and Traffic Steering in SDN using Graph Neural Network
inferredcites →https://doi.org/10.1109/iot-siu.2018.8519846openalex-snapshot
Performance Evaluation of SDN based Virtualization for Data Center Networks
inferredcites →https://doi.org/10.1109/iscc.2018.8538614openalex-snapshot
Using NFV and Reinforcement Learning for Anomalies Detection and Mitigation in SDN
inferredcites →https://doi.org/10.1109/jiot.2019.2956964openalex-snapshot
SDN-Enabled Network Coding-Based Secure Data Dissemination in VANET Environment
inferredcites →https://doi.org/10.1109/jsac.2020.3000405openalex-snapshot
RouteNet: Leveraging Graph Neural Networks for Network Modeling and Optimization in SDN
inferredcites →https://doi.org/10.1109/mnet.011.2000439openalex-snapshot
Blockchain-Envisioned Softwarized Multi-Swarming UAVs to Tackle COVID-I9 Situations
inferredcites →https://doi.org/10.1109/ngct.2016.7877466openalex-snapshot
Visualization, analysis and structural pattern infusion of DBLP co-authorship network using Gephi
inferredcites →https://doi.org/10.1109/surv.2013.052213.00046openalex-snapshot
Network Anomaly Detection: Methods, Systems and Tools
inferredcites →https://doi.org/10.1109/surv.2014.012214.00180openalex-snapshot
A Survey of Software-Defined Networking: Past, Present, and Future of Programmable Networks
inferredcites →https://doi.org/10.1109/tetc.2016.2633228openalex-snapshot
A Two-Layer Dimension Reduction and Two-Tier Classification Model for Anomaly-Based Intrusion Detection in IoT Backbone Networks
inferredcites →https://doi.org/10.1109/tgcn.2021.3111529openalex-snapshot
Blockchain-Based Data Dissemination Scheme for 5G-Enabled Softwarized UAV Networks
inferredcites →https://doi.org/10.1109/tkde.2018.2818163openalex-snapshot
NHAD: Neuro-Fuzzy Based Horizontal Anomaly Detection In Online Social Networks
inferredcites →https://doi.org/10.1109/tnsm.2019.2960202openalex-snapshot
Per-Host DDoS Mitigation by Direct-Control Reinforcement Learning
inferredcites →https://doi.org/10.1109/tvt.2021.3092065openalex-snapshot
SDN-Enabled Adaptive Broadcast Timer for Data Dissemination in Vehicular Ad Hoc Networks
inferredcites →https://doi.org/10.1155/2018/9804061openalex-snapshot
A DDoS Attack Detection Method Based on SVM in Software Defined Network
inferredcites →https://doi.org/10.3390/electronics9040577openalex-snapshot
A Novel Hybrid IDS Based on Modified NSGAII-ANN and Random Forest
inferredcites →https://doi.org/10.5120/13715-1478openalex-snapshot
Machine Learning Techniques for Anomaly Detection: An Overview

What points at this work

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

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Behavioral Profiling for Dynamic Anomaly Detection in Cloud‐IoT Networks
inferred← citeshttps://doi.org/10.1007/978-3-031-87778-0_4openalex-snapshot
A Novel Approach to Automated Cybersecurity Response for Critical Infrastructures Using Graph Neural Networks and Reinforcement Learning
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Impact of Deep Learning on VANET Security: An Analysis
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Detection and mitigation of cyber-attacks in software defined networks using machine learning/deep learning: a systematic literature review, research challenges and future directions
inferred← citeshttps://doi.org/10.1007/s43926-025-00242-1openalex-snapshot
Detection of anomalous network behavior based on one-way delay measurements
inferred← citeshttps://doi.org/10.1007/s44443-026-00906-0openalex-snapshot
A hyperbolic graph learning and structural entropy modeling approach for unknown anomaly detection in cross-domain networks
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Prospective exposure-risk scoring for post-detection IoT botnet quarantine under a false-isolation budget
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Introduction to graph neural network: A systematic review of trends, methods, and applications
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Software defined network and graph neural network-based anomaly detection scheme for high speed networks
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Shapley-guided pruning for efficient graph neural architecture prediction in distributed learning environments
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Dynamic graph neural network-based framework to increase detection accuracy in SDN under DDOS
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SecuNet 4D a comprehensive framework for distributed SDN security and resilience
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Bi-GAN-LDA for cybersecurity: a hybrid deep learning framework for advanced network anomaly detection
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AI-Driven Intrusion Detection in Software-Defined Networks Using GNNs
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Intent2Vec: Contrastive Learning for Predictive and Interpretable Intent Violation Detection in SDN
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Graph Neural Network-Based Routing Optimization in Large-Scale IoT Deployments
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Identification of Power Information Network System Vulnerabilities by using Cascading Failure Analysis and Differential Evaluation with Maturity Factor
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Graph Neural Networks for Real-Time Threat Detection in Software-Defined Networks
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Comparative Study of Deep Learning Models for Multiclass Network Anomaly Detection using CICIDS2017
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Drug Molecular Conformation Prediction Based on Two-way Constraint Model
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Combining Software-Defined and Delay-Tolerant Networking Concepts With Deep Reinforcement Learning Technology to Enhance Vehicular Networks
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Deep anomaly detection of temporal heterogeneous data in AIOps: a survey
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Autonomic Resilience in Cybersecurity: Designing the Self-Healing Network Protocol for Next-Generation Software-Defined Networking
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A systematic survey of DoS and DDoS attack mitigation techniques in software-defined networking
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Detecting Imbalanced Credit Card Fraud via Hybrid Graph Attention and Variational Autoencoder Ensembles
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AIDS-Based Cyber Threat Detection Framework for Secure Cloud-Native Microservices
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Topology Before Optimization
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Challenges and Future Directions in Anomaly Detection
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