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A Comprehensive Survey of Distributed Denial of Service Detection and Mitigation Technologies in Software-Defined Network

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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/10.1002/dac.3497openalex-snapshot
Detection and defense of DDoS attack–based on deep learning in OpenFlow ‐based SDN
inferredcites →https://doi.org/10.1002/ett.4758openalex-snapshot
SDN and application layer DDoS attacks detection in IoT devices by attention‐based Bi‐LSTM‐CNN
inferredcites →https://doi.org/10.1002/ett.4853openalex-snapshot
Countering crossfire DDoS attacks through moving target defense in SDN networks using OpenFlow traffic modification
inferredcites →https://doi.org/10.1007/978-3-319-23829-6_32openalex-snapshot
Defending Blind DDoS Attack on SDN Based on Moving Target Defense
inferredcites →https://doi.org/10.1007/978-3-319-28430-9_9openalex-snapshot
Survey on Software-Defined Networking
inferredcites →https://doi.org/10.1007/978-3-319-58469-0_2openalex-snapshot
Slow TCAM Exhaustion DDoS Attack
inferredcites →https://doi.org/10.1007/978-3-319-78813-5_18openalex-snapshot
Disrupting SDN via the Data Plane: A Low-Rate Flow Table Overflow Attack
inferredcites →https://doi.org/10.1007/978-3-540-71549-8_31openalex-snapshot
Port and Address Hopping for Active Cyber-Defense
inferredcites →https://doi.org/10.1007/978-981-15-8101-4_18openalex-snapshot
DDoS Attack Detection Based on One-Class SVM in SDN
inferredcites →https://doi.org/10.1007/s00500-021-06608-1openalex-snapshot
Deep learning approaches for detecting DDoS attacks: a systematic review
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/s11277-021-08465-5openalex-snapshot
A Statistical Model for Early Detection of DDoS Attacks on Random Targets in SDN
inferredcites →https://doi.org/10.1007/s12652-018-0800-9openalex-snapshot
Distributed denial of service (DDoS) attack mitigation in software defined network (SDN)-based cloud computing environment
inferredcites →https://doi.org/10.1007/s40860-022-00171-8openalex-snapshot
A comprehensive survey on SDN security: threats, mitigations, and future directions
inferredcites →https://doi.org/10.1007/s42979-021-00467-1openalex-snapshot
Deep Neural Network (DNN) Solution for Real-time Detection of Distributed Denial of Service (DDoS) Attacks in Software Defined Networks (SDNs)
inferredcites →https://doi.org/10.1016/0308-5961(90)90020-ropenalex-snapshot
The European Telecommunications Standards Institute
inferredcites →https://doi.org/10.1016/j.comnet.2018.09.021openalex-snapshot
Woodpecker: Detecting and mitigating link-flooding attacks via SDN
inferredcites →https://doi.org/10.1016/j.compeleceng.2022.107706openalex-snapshot
A survey on DoS/DDoS mitigation techniques in SDNs: Classification, comparison, solutions, testing tools and datasets
inferredcites →https://doi.org/10.1016/j.cose.2017.07.008openalex-snapshot
ArOMA: An SDN based autonomic DDoS mitigation framework
inferredcites →https://doi.org/10.1016/j.cose.2020.101976openalex-snapshot
Cost-effective moving target defense against DDoS attacks using trilateral game and multi-objective Markov decision processes
inferredcites →https://doi.org/10.1016/j.cose.2021.102423openalex-snapshot
A comprehensive survey of DDoS defense solutions in SDN: Taxonomy, research challenges, and future directions
inferredcites →https://doi.org/10.1016/j.cose.2022.102604openalex-snapshot
A hybrid method of entropy and SSAE-SVM based DDoS detection and mitigation mechanism in SDN
inferredcites →https://doi.org/10.1016/j.cosrev.2020.100279openalex-snapshot
Detection and mitigation of DDoS attacks in SDN: A comprehensive review, research challenges and future directions
inferredcites →https://doi.org/10.1016/j.jisa.2020.102587openalex-snapshot
A DDoS attack detection and defense scheme using time-series analysis for SDN
inferredcites →https://doi.org/10.1016/j.jnca.2016.04.005openalex-snapshot
SD-Anti-DDoS: Fast and efficient DDoS defense in software-defined networks
inferredcites →https://doi.org/10.1016/j.jnca.2018.10.011openalex-snapshot
DoS vulnerabilities and mitigation strategies in software-defined networks
inferredcites →https://doi.org/10.1016/j.jnca.2019.06.001openalex-snapshot
SEAL: SDN based secure and agile framework for protecting smart city applications from DDoS attacks
inferredcites →https://doi.org/10.1049/iet-net.2018.5080openalex-snapshot
Towards an efficient anomaly‐based intrusion detection for software‐defined networks
inferredcites →https://doi.org/10.1080/19393555.2022.2111004openalex-snapshot
Mitigation strategies for distributed denial of service (DDoS) in SDN: A survey and taxonomy
inferredcites →https://doi.org/10.1080/23742917.2023.2264435openalex-snapshot
Modeling DDOS attacks in sdn and detection using random forest classifier
inferredcites →https://doi.org/10.1093/comjnl/bxy117openalex-snapshot
SDN-Based SYN Proxy—A Solution to Enhance Performance of Attack Mitigation Under TCP SYN Flood
inferredcites →https://doi.org/10.1109/access.2019.2895092openalex-snapshot
SGS: Safe-Guard Scheme for Protecting Control Plane Against DDoS Attacks in Software-Defined Networking
inferredcites →https://doi.org/10.1109/access.2019.2963077openalex-snapshot
DDoS Attack Detection Method Based on Improved KNN With the Degree of DDoS Attack in Software-Defined Networks
inferredcites →https://doi.org/10.1109/access.2020.2967478openalex-snapshot
Low-Rate DDoS Attack Detection Based on Factorization Machine in Software Defined Network
inferredcites →https://doi.org/10.1109/access.2020.2992044openalex-snapshot
Long Short-Term Memory and Fuzzy Logic for Anomaly Detection and Mitigation in Software-Defined Network Environment
inferredcites →https://doi.org/10.1109/access.2020.3002333openalex-snapshot
Novel Three-Tier Intrusion Detection and Prevention System in Software Defined Network
inferredcites →https://doi.org/10.1109/access.2020.3009849openalex-snapshot
Hybrid Deep Learning: An Efficient Reconnaissance and Surveillance Detection Mechanism in SDN
inferredcites →https://doi.org/10.1109/access.2020.3033942openalex-snapshot
Bandwidth Control Mechanism and Extreme Gradient Boosting Algorithm for Protecting Software-Defined Networks Against DDoS Attacks
inferredcites →https://doi.org/10.1109/access.2023.3319214openalex-snapshot
Optimized Artificial Intelligence Model for DDoS Detection in SDN Environment
inferredcites →https://doi.org/10.1109/apsipaasc47483.2019.9023229openalex-snapshot
Dynamic Threshold for DDoS Mitigation in SDN Environment
inferredcites →https://doi.org/10.1109/ares.2011.39openalex-snapshot
Parametric Differences between a Real-world Distributed Denial-of-Service Attack and a Flash Event
inferredcites →https://doi.org/10.1109/avss.2018.8639103openalex-snapshot
DDoS Attacks and Flash Event Detection Based on Flow Characteristics in SDN
inferredcites →https://doi.org/10.1109/cis.2016.0077openalex-snapshot
A Port Hopping Based DoS Mitigation Scheme in SDN Network
inferredcites →https://doi.org/10.1109/comst.2015.2453114openalex-snapshot
A Survey of Security in Software Defined Networks
inferredcites →https://doi.org/10.1109/globecom38437.2019.9014048openalex-snapshot
SDN Security: Information Disclosure and Flow Table Overflow Attacks
inferredcites →https://doi.org/10.1109/glocom.2017.8254023openalex-snapshot
FADM: DDoS Flooding Attack Detection and Mitigation System in Software-Defined Networking
inferredcites →https://doi.org/10.1109/icc.2005.1494598openalex-snapshot
Network address hopping a mechanism to enhance data protection for packet communications
inferredcites →https://doi.org/10.1109/icccnt45670.2019.8944426openalex-snapshot
Entropy based mitigation of Distributed-Denial-of-Service (DDoS) attack on Control Plane in Software-Defined-Network (SDN)
inferredcites →https://doi.org/10.1109/icitiit54346.2022.9744225openalex-snapshot
Detection of DDoS Attack using Multiple Kernel Level (MKL) Algorithm
inferredcites →https://doi.org/10.1109/icnp.2013.6733671openalex-snapshot
OpenFlow: A security analysis
inferredcites →https://doi.org/10.1109/icoac.2014.7229711openalex-snapshot
DDoS detection and analysis in SDN-based environment using support vector machine classifier
inferredcites →https://doi.org/10.1109/icoac48765.2019.246818openalex-snapshot
Detection and Mitigation of DDoS Attacks Using Conditional Entropy in Software-defined Networking
inferredcites →https://doi.org/10.1109/icoin.2018.8343119openalex-snapshot
Self-organizing map-based approaches in DDoS flooding detection using SDN
inferredcites →https://doi.org/10.1109/icspis54653.2021.9729355openalex-snapshot
Entropy-based DDoS Attack Detection in SDN using Dynamic Threshold
inferredcites →https://doi.org/10.1109/icufn.2016.7537143openalex-snapshot
PathMon: Path-specific traffic monitoring in OpenFlow-enabled networks
inferredcites →https://doi.org/10.1109/icumt51630.2020.9222443openalex-snapshot
ARDefense: DDoS detection and prevention using NFV and SDN
inferredcites →https://doi.org/10.1109/isac.2010.5670479openalex-snapshot
DDoS attack detection based on neural network
inferredcites →https://doi.org/10.1109/iscc.2017.8024605openalex-snapshot
SDNScore: A statistical defense mechanism against DDoS attacks in SDN environment
inferredcites →https://doi.org/10.1109/itnec48623.2020.9084885openalex-snapshot
Early detection of DDoS based on $\varphi$-entropy in SDN networks
inferredcites →https://doi.org/10.1109/jsac.2018.2869997openalex-snapshot
JESS: Joint Entropy-Based DDoS Defense Scheme in SDN
inferredcites →https://doi.org/10.1109/lwc.2019.2933392openalex-snapshot
Deep Neural Network Assisted Approach for Antenna Selection in Untrusted Relay Networks
inferredcites →https://doi.org/10.1109/mcom.001.00496openalex-snapshot
Game-Theoretic Learning Anti-Jamming Approaches in Wireless Networks
inferredcites →https://doi.org/10.1109/mwc.2017.1700363openalex-snapshot
Stackelberg Game Approaches for Anti-Jamming Defence in Wireless Networks
inferredcites →https://doi.org/10.1109/nca.2003.1201154openalex-snapshot
Adaptive use of network-centric mechanisms in cyber-defense
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/netsoft51509.2021.9492614openalex-snapshot
Strengthening SDN Security: Protocol Dialecting and Downgrade Attacks
inferredcites →https://doi.org/10.1109/smartiot.2019.00030openalex-snapshot
AEH-MTD: Adaptive Moving Target Defense Scheme for SDN
inferredcites →https://doi.org/10.1109/tdsc.2007.70209openalex-snapshot
Keeping Denial-of-Service Attackers in the Dark
inferredcites →https://doi.org/10.1109/tdsc.2021.3108782openalex-snapshot
Detecting and Mitigating DDoS Attacks in SDN Using Spatial-Temporal Graph Convolutional Network
inferredcites →https://doi.org/10.1109/tdsc.2022.3158690openalex-snapshot
A Security Enforcement Framework for SDN Controller Using Game Theoretic Approach
inferredcites →https://doi.org/10.1109/tii.2019.2917912openalex-snapshot
An SDN-Enabled Pseudo-Honeypot Strategy for Distributed Denial of Service Attacks in Industrial Internet of Things
inferredcites →https://doi.org/10.1109/tnsm.2018.2889842openalex-snapshot
Fast IP Hopping Randomization to Secure Hop-by-Hop Access in SDN
inferredcites →https://doi.org/10.1109/tnsm.2020.3014870openalex-snapshot
Bringing Intelligence to Software Defined Networks: Mitigating DDoS Attacks
inferredcites →https://doi.org/10.1109/tnsm.2020.3037124openalex-snapshot
AEGIS: Detection and Mitigation of TCP SYN Flood on SDN Controller
inferredcites →https://doi.org/10.1109/tsc.2016.2602861openalex-snapshot
Defending Against Flow Table Overloading Attack in Software-Defined Networks
inferredcites →https://doi.org/10.1109/tvt.2021.3049653openalex-snapshot
A Learning-Based Spectrum Access Stackelberg Game: Friendly Jammer-Assisted Communication Confrontation
inferredcites →https://doi.org/10.1109/vitecon.2019.8899721openalex-snapshot
Entropy Based DDoS Detection and Mitigation in OpenFlow Enabled SDN
inferredcites →https://doi.org/10.1117/12.2615099openalex-snapshot
Flow count synchronous SDN address hopping technology based on DH-RSA negotiation
inferredcites →https://doi.org/10.1145/2620728.2620734openalex-snapshot
Infinite CacheFlow in software-defined networks
inferredcites →https://doi.org/10.1145/3040992.3040998openalex-snapshot
Dynamic Game based Security framework in SDN-enabled Cloud Networking Environments
inferredcites →https://doi.org/10.1145/3180465.3180473openalex-snapshot
MTD Analysis and evaluation framework in Software Defined Network (MASON)
inferredcites →https://doi.org/10.1145/3341325.3342037openalex-snapshot
FlowJustifier
inferredcites →https://doi.org/10.1145/3360468.3368183openalex-snapshot
An SVM Based DDoS Attack Detection Method for Ryu SDN Controller
inferredcites →https://doi.org/10.1145/3453648openalex-snapshot
Application Threats to Exploit Northbound Interface Vulnerabilities in Software Defined 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/10.1155/2019/8012568openalex-snapshot
Advanced Support Vector Machine- (ASVM-) Based Detection for Distributed Denial of Service (DDoS) Attack on Software Defined Networking (SDN)
inferredcites →https://doi.org/10.1155/2021/8848473openalex-snapshot
An Adaptive IP Hopping Approach for Moving Target Defense Using a Light-Weight CNN Detector
inferredcites →https://doi.org/10.1587/transinf.2016edp7377openalex-snapshot
A Defense Mechanism of Random Routing Mutation in SDN
inferredcites →https://doi.org/10.2991/icmia-16.2016.91openalex-snapshot
A SDN-based IP Address Hopping Method Design
inferredcites →https://doi.org/10.2991/nceece-15.2016.135openalex-snapshot
An Approach for Protecting the OpenFlow Switch from the Saturation Attack
inferredcites →https://doi.org/10.32604/cmc.2022.021669openalex-snapshot
DDoS Detection in SDN using Machine Learning Techniques
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/app13084953openalex-snapshot
Distributed Blockchain-SDN Secure IoT System Based on ANN to Mitigate DDoS Attacks
inferredcites →https://doi.org/10.3390/e25081210openalex-snapshot
A Method of DDoS Attack Detection and Mitigation for the Comprehensive Coordinated Protection of SDN Controllers
inferredcites →https://doi.org/10.3390/fi15040122openalex-snapshot
A DNN Architecture Generation Method for DDoS Detection via Genetic Alogrithm
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/su13031522openalex-snapshot
Entropy Based Features Distribution for Anti-DDoS Model in SDN
inferredcites →https://doi.org/10.5121/ijci.2023.120408openalex-snapshot
DDoS Detection in Software-Defined Network (SDN) Using Machine Learning
inferredcites →https://doi.org/10.5815/ijwmt.2022.02.02openalex-snapshot
SDN Interfaces: Protocols, Taxonomy and Challenges

What points at this work

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

inferred← citeshttps://doi.org/10.1007/978-3-032-11453-2_7openalex-snapshot
Enhancing Cybersecurity Through Effective DoS and Brute Force Attack Management
inferred← citeshttps://doi.org/10.1007/978-3-032-24807-7_46openalex-snapshot
Machine Learning-Based Approaches for Detecting Reflection-Based DDoS Attacks: DNS
inferred← citeshttps://doi.org/10.1007/s11277-026-11940-6openalex-snapshot
Approximate Entropy-Based DL Model with Adaptive Topology and Clustering Restriction for Semi-Flooding and Low-rate Attack Detection and Mitigation
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/s13042-026-03108-2openalex-snapshot
DDoS attack detection using semi-supervised hyperparameter optimized federated learning in software defined internet of drones
inferred← citeshttps://doi.org/10.1007/s44443-026-00698-3openalex-snapshot
Availability stress analysis of DDoS traffic with implications for cryptocurrency infrastructure
inferred← citeshttps://doi.org/10.1016/b978-0-44-344433-3.00013-7openalex-snapshot
Privacy-enhanced DDoS detection with federated learning and differential privacy
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.jisa.2026.104384openalex-snapshot
Fed-Adapt: A Federated Learning Framework for Adaptive Topology Reconfiguration Against Multi-Rate DDoS and Database Flooding Attacks
inferred← citeshttps://doi.org/10.1109/access.2025.3560186openalex-snapshot
Multi-Stage Adversarial Defense for Online DDoS Attack Detection System in IoT
inferred← citeshttps://doi.org/10.1109/access.2025.3618519openalex-snapshot
Resource-Aware Ensemble Framework for DDoS Detection in SDN via Novel Game-Theoretic Feature Selection
inferred← citeshttps://doi.org/10.1109/icati69399.2026.11604414openalex-snapshot
Deep Learning-Driven Attack Detection in Software-Defined Networking Environments
inferred← citeshttps://doi.org/10.1109/iccams65118.2025.11234684openalex-snapshot
AI-Driven Encoding and Classification for Secure IoT Systems: Enhancing Attack Detection and Privacy Preservation
inferred← citeshttps://doi.org/10.1109/icscan62807.2024.10894307openalex-snapshot
Probabilistic Trust Inference Theory to Optimizing Multi-Level Trust in Software Defined Networks
inferred← citeshttps://doi.org/10.1109/isriti64779.2024.10963367openalex-snapshot
Enhanced Cybersecurity Measures: DDoS Attacks Detection in Realtime with Advanced SVM Techniques
inferred← citeshttps://doi.org/10.1109/jiot.2026.3719293openalex-snapshot
Distributed MPC for DDoS-Resilient Control and Communication Optimization in Multi-UAV-Assisted IoT Smart Agriculture Networks
inferred← citeshttps://doi.org/10.1109/tce.2024.3472707openalex-snapshot
DDoS Intrusions Detection in Low Power SD-IoT Devices Leveraging Effective Machine Learning
inferred← citeshttps://doi.org/10.14445/23488549/ijece-v11i6p111openalex-snapshot
SDN-IDS: A Deep Learning Model for Detecting DDoS Attacks
inferred← citeshttps://doi.org/10.23939/csn2026.01.171openalex-snapshot
DDOS DETECTION IN AWS USING LIGHTWEIGHT MACHINE LEARNING METHODS
inferred← citeshttps://doi.org/10.32620/reks.2024.2.11openalex-snapshot
Leveraging datasets for effective mitigation of DDoS attacks in software-defined networking: significance and challenges
inferred← citeshttps://doi.org/10.33411/ijist/1345openalex-snapshot
Distributed Denial of Service (DDOS) Attacks Technique to Interruption the System's Service and Identification
inferred← citeshttps://doi.org/10.3390/electronics14081684openalex-snapshot
Cyber–Physical Resilience: Evolution of Concept, Indicators, and Legal Frameworks
inferred← citeshttps://doi.org/10.3390/electronics14214222openalex-snapshot
A Comprehensive Review of DDoS Detection and Mitigation in SDN Environments: Machine Learning, Deep Learning, and Federated Learning Perspectives
inferred← citeshttps://doi.org/10.3390/electronics15184296openalex-snapshot
A Time-Based Hierarchical Detection Method for TCP SYN Flood Attacks Using Self-Information and Three-Way Handshake Analysis
inferred← citeshttps://doi.org/10.3390/en19010209openalex-snapshot
Neural Network Method for Detecting UDP Flood Attacks in Critical Infrastructure Microgrid Protection Systems with Law Enforcement Agencies’ Rapid Response
inferred← citeshttps://doi.org/10.3390/su17208985openalex-snapshot
Comparative Analysis of Machine Learning Algorithms for Sustainable Attack Detection in Intelligent Transportation Systems Using Long-Range Sensor Network Technology
inferred← citeshttps://doi.org/10.4018/979-8-3693-6417-8.ch002openalex-snapshot
A Strategic Approach to Cyberattacks and Risk Management
inferred← citeshttps://doi.org/10.46460/ijiea.1797978openalex-snapshot
Adaptive Honeypot Systems via RAG: Enhancing Threat Intelligence with Generative AI
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