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An Overview of SDN Issues—A Case Study and Performance Evaluation of a Secure OpenFlow Protocol Implementation
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Outgoing claims: the papers this work cites, builds on, or argues with.
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ML‐IDSDN: Machine learning based intrusion detection system for software‐defined network
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Software‐defined networking (SDN): a survey
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Botnet Detection in Software Defined Networks by Deep Learning Techniques
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New Trends in Information and Communications Technology Applications
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Proceedings of International Conference on IoT Inclusive Life (ICIIL 2019), NITTTR Chandigarh, India
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Performance analysis of ODL and RYU controllers’ against DDoS attack in software defined networks
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Scalability, Consistency, Reliability and Security in SDN Controllers: A Survey of Diverse SDN Controllers
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Heterogeneous Hardware-based Network Intrusion Detection System with Multiple Approaches for SDN
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ICS-IDS: application of big data analysis in AI-based intrusion detection systems to identify cyberattacks in ICS networks
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GOP-SDN: an enhanced load balancing method based on genetic and optimized particle swarm optimization algorithm in distributed SDNs
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A comprehensive survey on SDN security: threats, mitigations, and future directions
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A Comprehensive Survey on Machine Learning using in Software Defined Networks (SDN)
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IoT survey: An SDN and fog computing perspective
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ByteSGAN: A semi-supervised Generative Adversarial Network for encrypted traffic classification in SDN Edge Gateway
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Enabling efficient routing for traffic engineering in SDN with Deep Reinforcement Learning
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A comprehensive review on Software-Defined Networking (SDN) and DDoS attacks: Ecosystem, taxonomy, traffic engineering, challenges and research directions
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Detecting flooding DDoS attacks in software defined networks using supervised learning techniques
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A comprehensive survey of interface protocols for software defined networks
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Security in SDN: A comprehensive survey
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Fault tolerance in SDN data plane considering network and application based metrics
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Distributed real-time SlowDoS attacks detection over encrypted traffic using Artificial Intelligence
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Deep learning approaches for anomaly-based intrusion detection systems: A survey, taxonomy, and open issues
inferredcites →https://doi.org/10.1016/j.procs.2023.03.013openalex-snapshot
Anomaly-Based Intrusion Detection System using One-Dimensional Convolutional Neural Network
inferredcites →https://doi.org/10.1109/access.2016.2607786openalex-snapshot
SDN and Virtualization Solutions for the Internet of Things: A Survey
inferredcites →https://doi.org/10.1109/access.2019.2928564openalex-snapshot
A Survey of Networking Applications Applying the Software Defined Networking Concept Based on Machine Learning
inferredcites →https://doi.org/10.1109/access.2020.2970118openalex-snapshot
Internet of Things (IoT) for Next-Generation Smart Systems: A Review of Current Challenges, Future Trends and Prospects for Emerging 5G-IoT Scenarios
inferredcites →https://doi.org/10.1109/access.2021.3099092openalex-snapshot
A Survey on Machine Learning Techniques for Routing Optimization in SDN
inferredcites →https://doi.org/10.1109/access.2024.3393548openalex-snapshot
Security Control and Data Planes of SDN: A Comprehensive Review of Traditional, AI, and MTD Approaches to Security Solutions
inferredcites →https://doi.org/10.1109/apnoms.2017.8094160openalex-snapshot
Application identification system for SDN QoS based on machine learning and DNS responses
inferredcites →https://doi.org/10.1109/bigdataservice.2018.00016openalex-snapshot
Performance Comparison of a SDN Network between Cloud-Based and Locally Hosted SDN Controllers
inferredcites →https://doi.org/10.1109/cnsm.2015.7367369openalex-snapshot
Modeling service variability in complex service delivery operations
inferredcites →https://doi.org/10.1109/compsac48688.2020.0-157openalex-snapshot
vSwitchGuard: Defending OpenFlow Switches Against Saturation Attacks
inferredcites →https://doi.org/10.1109/comst.2017.2689819openalex-snapshot
A Survey on the Security of Stateful SDN Data Planes
inferredcites →https://doi.org/10.1109/comst.2017.2782482openalex-snapshot
Distributed SDN Control: Survey, Taxonomy, and Challenges
inferredcites →https://doi.org/10.1109/comst.2018.2837161openalex-snapshot
Hybrid SDN Networks: A Survey of Existing Approaches
inferredcites →https://doi.org/10.1109/comst.2018.2866942openalex-snapshot
A Survey of Machine Learning Techniques Applied to Software Defined Networking (SDN): Research Issues and Challenges
inferredcites →https://doi.org/10.1109/comst.2020.2973314openalex-snapshot
The Future of Healthcare Internet of Things: A Survey of Emerging Technologies
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Complementing IoT Services Through Software Defined Networking and Edge Computing: A Comprehensive Survey
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AI-Empowered Fog/Edge Resource Management for IoT Applications: A Comprehensive Review, Research Challenges, and Future Perspectives
inferredcites →https://doi.org/10.1109/conit59222.2023.10205887openalex-snapshot
Prediction of Distributed Denial of Service Attacks in SDN using Machine Learning Techniques
inferredcites →https://doi.org/10.1109/est.2017.8090413openalex-snapshot
Machine learning based intrusion detection system for software defined networks
inferredcites →https://doi.org/10.1109/glocom.2015.7417181openalex-snapshot
Efficient Auto-Scaling Approach in the Telco Cloud Using Self-Learning Algorithm
inferredcites →https://doi.org/10.1109/hpcc/smartcity/dss.2018.00152openalex-snapshot
Suspicious Traffic Detection in SDN with Collaborative Techniques of Snort and Deep Neural Networks
inferredcites →https://doi.org/10.1109/icce.2019.8662080openalex-snapshot
A Botnet Detection Method on SDN using Deep Learning
inferredcites →https://doi.org/10.1109/icsccc51823.2021.9478150openalex-snapshot
Port scanning based model to detect Malicious TCP traffic and mitigate its impact in SDN
inferredcites →https://doi.org/10.1109/icufn.2015.7182679openalex-snapshot
Secure your Northbound SDN API
inferredcites →https://doi.org/10.1109/infocom.2017.8057009openalex-snapshot
FloodDefender: Protecting data and control plane resources under SDN-aimed DoS attacks
inferredcites →https://doi.org/10.1109/inm.2015.7140489openalex-snapshot
Denial-of-service attacks in OpenFlow SDN networks
inferredcites →https://doi.org/10.1109/iot52625.2021.9469714openalex-snapshot
Distributed Rule Anomaly Detection in SDN-based IoT
inferredcites →https://doi.org/10.1109/jiot.2020.2973176openalex-snapshot
Learning-Driven Detection and Mitigation of DDoS Attack in IoT via SDN-Cloud Architecture
inferredcites →https://doi.org/10.1109/jiot.2020.2993782openalex-snapshot
FlowGuard: An Intelligent Edge Defense Mechanism Against IoT DDoS Attacks
inferredcites →https://doi.org/10.1109/jproc.2014.2371999openalex-snapshot
Software-Defined Networking: A Comprehensive Survey
inferredcites →https://doi.org/10.1109/mcom.2013.6461198openalex-snapshot
On scalability of software-defined networking
inferredcites →https://doi.org/10.1109/msp.2017.46openalex-snapshot
Security Challenges and Opportunities of Software-Defined Networking
inferredcites →https://doi.org/10.1109/netsoft51509.2021.9492558openalex-snapshot
DDoS Attack Detection and Mitigation in SDN using Machine Learning
inferredcites →https://doi.org/10.1109/netwks.2016.7751150openalex-snapshot
Security analysis of OpenDaylight, ONOS, Rosemary and Ryu SDN controllers
inferredcites →https://doi.org/10.1109/nfv-sdn.2017.8169856openalex-snapshot
SDN-Guard: Protecting SDN controllers against SDN rootkits
inferredcites →https://doi.org/10.1109/noms.2016.7502823openalex-snapshot
An SDN-based approach to enhance the end-to-end security: SSL/TLS case study
inferredcites →https://doi.org/10.1109/sds.2017.7939138openalex-snapshot
SDN in wide-area networks: A survey
inferredcites →https://doi.org/10.1109/services.2019.00051openalex-snapshot
DDoS Attacks Detection and Mitigation in SDN Using Machine Learning
inferredcites →https://doi.org/10.1109/tmm.2019.2893549openalex-snapshot
Hybrid Deep-Learning-Based Anomaly Detection Scheme for Suspicious Flow Detection in SDN: A Social Multimedia Perspective
inferredcites →https://doi.org/10.1109/tnet.2018.2833815openalex-snapshot
Optimal Network Service Chain Provisioning
inferredcites →https://doi.org/10.1109/tnsm.2020.3036911openalex-snapshot
Intelligent Routing Based on Reinforcement Learning for Software-Defined Networking
inferredcites →https://doi.org/10.1109/tnsm.2024.3454282openalex-snapshot
Distributed Traffic Engineering in Hybrid Software Defined Networks: A Multi-Agent Reinforcement Learning Framework
inferredcites →https://doi.org/10.1109/uemcon47517.2019.8992934openalex-snapshot
Network Traffic-Based Hybrid Malware Detection for Smartphone and Traditional Networked Systems
inferredcites →https://doi.org/10.1109/wcsp.2016.7752658openalex-snapshot
Coverage optimization algorithms based on voronoi diagram in software-defined sensor networks
inferredcites →https://doi.org/10.1155/2021/2170788openalex-snapshot
A Novel Model for Anomaly Detection in Network Traffic Based on Support Vector Machine and Clustering
inferredcites →https://doi.org/10.3390/app10186564openalex-snapshot
Artificial Intelligence Enabled Routing in Software Defined Networking
inferredcites →https://doi.org/10.3390/app132212520openalex-snapshot
Multi-Path Routing Algorithm Based on Deep Reinforcement Learning for SDN
inferredcites →https://doi.org/10.3390/app15084317openalex-snapshot
SDN Anomalous Traffic Detection Based on Temporal Convolutional Network
inferredcites →https://doi.org/10.3390/drones7070459openalex-snapshot
QEHLR: A Q-Learning Empowered Highly Dynamic and Latency-Aware Routing Algorithm for Flying Ad-Hoc Networks
inferredcites →https://doi.org/10.3390/electronics11142158openalex-snapshot
Machine Learning-Based Anomaly Detection Using K-Mean Array and Sequential Minimal Optimization
inferredcites →https://doi.org/10.3390/electronics12143077openalex-snapshot
Security and Privacy Issues in Software-Defined Networking (SDN): A Systematic Literature Review
inferredcites →https://doi.org/10.3390/s19020311openalex-snapshot
Dynamic Load Balancing of Software-Defined Networking Based on Genetic-Ant Colony Optimization
inferredcites →https://doi.org/10.3390/s22030709openalex-snapshot
Predicting Attack Pattern via Machine Learning by Exploiting Stateful Firewall as Virtual Network Function in an SDN Network
inferredcites →https://doi.org/10.3390/s22072697openalex-snapshot
Adaptive Machine Learning Based Distributed Denial-of-Services Attacks Detection and Mitigation System for SDN-Enabled IoT
inferredcites →https://doi.org/10.3390/s22218287openalex-snapshot
SDN-Defend: A Lightweight Online Attack Detection and Mitigation System for DDoS Attacks in SDN
inferredcites →https://doi.org/10.3390/s23084060openalex-snapshot
Impact, Vulnerabilities, and Mitigation Strategies for Cyber-Secure Critical Infrastructure
inferredcites →https://doi.org/10.3390/s24041086openalex-snapshot
Research on Computing Resource Measurement and Routing Methods in Software Defined Computing First Network
inferredcites →https://doi.org/10.3390/s24041216openalex-snapshot
A Temporal Deep Q Learning for Optimal Load Balancing in Software-Defined Networks
inferredcites →https://doi.org/10.3390/s24061968openalex-snapshot
Machine Learning and Deep Learning Techniques for Internet of Things Network Anomaly Detection—Current Research Trends
inferredcites →https://doi.org/10.36227/techrxiv.170906129.96884003/v1openalex-snapshot
Quantum Machine Learning for Controller Placement in Software Defined Networks
inferredcites →https://doi.org/10.4236/eng.2025.171002openalex-snapshot
Software Defined Networks: Strengths, Weaknesses, and Resilience to Failures
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.1007/s12597-026-01178-yopenalex-snapshot
Dynamic threshold-based DDoS flood attack detection in software defined networking
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Optimized controller placement in LEO satellite networks considering mobility and dynamic load
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GNN and GRU-based dynamic NSGA-II algorithm to tolerate Byzantine faults for Software Defined Network
inferred← citeshttps://doi.org/10.1080/19393555.2026.2648927openalex-snapshot
Toward adaptive security in wireless MPLS networks using SDN integration
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Security in Software-Defined Networking Migration: Challenges, Proposal and Future Perspective
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Design and Validation of a Four-Dimensional Security Detection Model for Software-Defined Networking
inferred← citeshttps://doi.org/10.1109/iccraids67816.2026.11519761openalex-snapshot
Fair Automatic Labeling for Software Defined Network Controller Selection from Performance Metrics Using Analytic Hierarchy Process
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Entropy-Driven FPGA-CPU Co-Designed SDN Defence for Resilient Edge Networks
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Phase-Based Performance Evaluation of OpenFlow in Multi-Hop Linear Topology
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QUIC-Based Secure Tunneling for Software- Defined Networking Control Plane Using a Transparent Wrapper Architecture
inferred← citeshttps://doi.org/10.1109/scse70081.2026.11499937openalex-snapshot
Enhancing QoS for Encrypted Traffic Using Flow-Based Traffic Classification in Software-Defined Networks
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Формалізований метод оцінювання критичності змін Infrastructure as Code у програмно-керованих мережах
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Hybrid Intrusion Detection System for Software-Defined Networks
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End-to-End Performance Analysis of an Intelligent Zero-Trust Framework for SDN: A Quantitative Evaluation of Latency and Overhead
inferred← citeshttps://doi.org/10.3390/ijt3020010openalex-snapshot
Minimizing Interruptions in Flow Redirection to Mitigate Link Flooding Attacks in SDN-Based Datacenters
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Enhancing SDN Security and Availability with Blockchain and Dual-Layer Isolation Forest–Driven DDoS Detection
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