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Detection and defense of DDoS attack–based on deep learning in OpenFlow ‐based SDN
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Outgoing claims: the papers this work cites, builds on, or argues with.
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inferredcites →https://doi.org/10.1109/jiot.2017.2732735openalex-snapshot
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inferredcites →https://doi.org/10.1109/mwscas.2017.8053243openalex-snapshot
Gate-variants of Gated Recurrent Unit (GRU) neural networks
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A taxonomy of DDoS attack and DDoS defense mechanisms
inferredcites →https://doi.org/10.17487/rfc2267openalex-snapshot
Network Ingress Filtering: Defeating Denial of Service Attacks which employ IP Source Address Spoofing
inferredcites →https://doi.org/10.17487/rfc2827openalex-snapshot
Network Ingress Filtering: Defeating Denial of Service Attacks which employ IP Source Address Spoofing
inferredcites →https://doi.org/10.2172/792253openalex-snapshot
Distributed Denial of Service Tools, Trin00, Tribe Flood Network, Tribe Flood Network 2000 and Stacheldraht.
inferredcites →https://doi.org/10.4108/eai.28-12-2017.153515openalex-snapshot
A Deep Learning Based DDoS Detection System in Software-Defined Networking (SDN)
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
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Detecting and Mitigating DDoS Attacks in SDN Using Spatial-Temporal Graph Convolutional Network
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ML-Based Approach to Detect DDoS Attack in V2I Communication Under SDN Architecture
inferred← citeshttps://doi.org/10.1109/tnse.2020.3012002openalex-snapshot
Stability of TCP/AQM Networks Under DDoS Attacks With Design
inferred← citeshttps://doi.org/10.1109/tnse.2023.3236147openalex-snapshot
Lightweight Per-Flow Traffic Measurement Using Improved LRU List
inferred← citeshttps://doi.org/10.1109/tnsm.2019.2929425openalex-snapshot
DDoS Detection System: Using a Set of Classification Algorithms Controlled by Fuzzy Logic System in Apache Spark
inferred← citeshttps://doi.org/10.1109/tnsm.2021.3097903openalex-snapshot
DAD: Domain Adversarial Defense System Against DDoS Attacks in Cloud
inferred← citeshttps://doi.org/10.1109/ucc48980.2020.00062openalex-snapshot
DDoS detection and defense mechanism for SDN controllers with K-Means
inferred← citeshttps://doi.org/10.1140/epjp/s13360-025-07213-zopenalex-snapshot
DDoSAE: a novel deep autoencoder framework for low-rate DDoS attack detection
inferred← citeshttps://doi.org/10.1145/3301614openalex-snapshot
Software-defined Networking-based DDoS Defense Mechanisms
inferred← citeshttps://doi.org/10.1145/3433210.3453083openalex-snapshot
Filtering DDoS Attacks from Unlabeled Network Traffic Data Using Online Deep Learning
inferred← citeshttps://doi.org/10.1145/3723890.3723903openalex-snapshot
Research on DDoS Attack Detection Based on SDN Architecture
inferred← citeshttps://doi.org/10.1145/3779054openalex-snapshot
On Developing Explainable AI Evaluation Metrics for Image Classification Using Borda Count and Multiple Correlation Techniques
inferred← citeshttps://doi.org/10.1155/2021/9963829openalex-snapshot
Can Multipath TCP Be Robust to Cyber Attacks? A Measuring Study of MPTCP with Active Queue Management Algorithms
inferred← citeshttps://doi.org/10.1155/2022/6096289openalex-snapshot
An AI-Driven Hybrid Framework for Intrusion Detection in IoT-Enabled E-Health
inferred← citeshttps://doi.org/10.1155/2022/9496123openalex-snapshot
Vulnerability Assessment of Asphalt Plant through Machine Learning Techniques
inferred← citeshttps://doi.org/10.11591/ijece.v12i2.pp1585-1592openalex-snapshot
A novel algorithm for software defined networks model to enhance the quality of services and scalability in wireless network
inferred← citeshttps://doi.org/10.1371/journal.pone.0297548openalex-snapshot
HLD-DDoSDN: High and low-rates dataset-based DDoS attacks against SDN
inferred← citeshttps://doi.org/10.1587/transfun.2023eap1057openalex-snapshot
Joint Selfattention-SVM DDoS Attack Detection and Defense Mechanism Based on Self-Attention Mechanism and SVM Classification for SDN Networks
inferred← citeshttps://doi.org/10.17148/ijarcce.2023.121101openalex-snapshot
A Hybrid Model for The Detection Of APA-DDoS Attacks Using Random Forest with Recurrent Neural Network
inferred← citeshttps://doi.org/10.2298/sjee2502183sopenalex-snapshot
Developing tunable machine learning workflow for traffic analysis in SDN
inferred← citeshttps://doi.org/10.23919/ccc64809.2025.11178916openalex-snapshot
A Fast DDoS Attack Detection Method Based on Improved KAN Network
inferred← citeshttps://doi.org/10.25126/jtiik.938188openalex-snapshot
Deteksi Dini Gangguan Jaringan Distributed Denial Of Service (DDOS) Menggunakan Metode Shannon Entropy Pada Software Defined Network (SDN)
inferred← citeshttps://doi.org/10.31185/wjcms.363openalex-snapshot
Enhancing IoT Network Security Through Deep Learning-Based Intrusion Detection
inferred← citeshttps://doi.org/10.3233/ida-194796openalex-snapshot
Using optimized statistical distances to confront distributed denial of service attacks in software defined networks
inferred← citeshttps://doi.org/10.3233/jifs-212946openalex-snapshot
A robust tuned classifier-based distributed denial of service attacks detection for quality of service enhancement in software-defined network
inferred← citeshttps://doi.org/10.3233/jifs-220932openalex-snapshot
RETRACTED: SDN-enabled Deep Learning based Detection Mechanism (DDM) to tackle DDoS attacks in IoTs
inferred← citeshttps://doi.org/10.32604/cmc.2020.06176openalex-snapshot
A Novel DDoS Attack Detection Method Using Optimized Generalized Multiple Kernel Learning
inferred← citeshttps://doi.org/10.32604/cmc.2022.025048openalex-snapshot
Machine Learning with Dimensionality Reduction for DDoS Attack Detection
inferred← citeshttps://doi.org/10.32604/cmc.2023.026952openalex-snapshot
Detecting and Mitigating DDOS Attacks in SDNs Using Deep Neural Network
inferred← citeshttps://doi.org/10.32604/cmes.2022.020724openalex-snapshot
Machine Learning Techniques for Intrusion Detection Systems in SDN-Recent Advances, Challenges and Future Directions
inferred← citeshttps://doi.org/10.32604/iasc.2022.024668openalex-snapshot
Ensemble Deep Learning Models for Mitigating DDoS Attack in Software-Defined Network
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/10.3390/app13053183openalex-snapshot
Machine Learning Techniques to Detect a DDoS Attack in SDN: A Systematic Review
inferred← citeshttps://doi.org/10.3390/electronics10172105openalex-snapshot
On the Detection of Low-Rate Denial of Service Attacks at Transport and Application Layers
inferred← citeshttps://doi.org/10.3390/electronics12143077openalex-snapshot
Security and Privacy Issues in Software-Defined Networking (SDN): A Systematic Literature Review
inferred← citeshttps://doi.org/10.3390/electronics13040807openalex-snapshot
A Comprehensive Survey of Distributed Denial of Service Detection and Mitigation Technologies in Software-Defined Network
inferred← citeshttps://doi.org/10.3390/fi14020044openalex-snapshot
Intelligent Traffic Management in Next-Generation Networks
inferred← citeshttps://doi.org/10.3390/fi18080415openalex-snapshot
SDN-Enabled Digital Twin Networks Architecture for Proactive Detection and Mitigation of Malicious Encrypted Traffic
inferred← citeshttps://doi.org/10.3390/info11050279openalex-snapshot
Intrusion Detection in IoT Networks Using Deep Learning Algorithm
inferred← citeshttps://doi.org/10.3390/s21144884openalex-snapshot
A Hybrid Deep Learning-Driven SDN Enabled Mechanism for Secure Communication in Internet of Things (IoT)
inferred← citeshttps://doi.org/10.3390/s22041582openalex-snapshot
A Hybrid Intelligent Framework to Combat Sophisticated Threats in Secure Industries
inferred← citeshttps://doi.org/10.3390/s23094441openalex-snapshot
A Systematic Literature Review on Machine Learning and Deep Learning Approaches for Detecting DDoS Attacks in Software-Defined Networking
inferred← citeshttps://doi.org/10.3390/su12031035openalex-snapshot
Detecting DDoS Attacks in Software-Defined Networks Through Feature Selection Methods and Machine Learning Models
inferred← citeshttps://doi.org/10.3837/tiis.2018.08.022openalex-snapshot
A Moving Window Principal Components Analysis Based Anomaly Detection and Mitigation Approach in SDN Network
inferred← citeshttps://doi.org/10.4018/978-1-6684-7216-3.ch003openalex-snapshot
Deep Learning Fusion for Multimedia Malware Classification
inferred← citeshttps://doi.org/10.4018/ijisp.2020070104openalex-snapshot
Neural Network-Based Approach for Detection and Mitigation of DDoS Attacks in SDN Environments
inferred← citeshttps://doi.org/10.4018/ijskd.2020040101openalex-snapshot
New Detection Mechanism for Distributed Denial of Service Attacks in Software Defined Networks
inferred← citeshttps://doi.org/10.4018/ijswis.297143openalex-snapshot
Distributed Denial-of-Service (DDoS) Attacks and Defense Mechanisms in Various Web-Enabled Computing Platforms
inferred← citeshttps://doi.org/10.4108/eai.23-11-2023.2343336openalex-snapshot
Exploring the Potential of Artificial Intelligence Model to Detect Distributed Denial of Service Attacks
inferred← citeshttps://doi.org/10.4108/eetsis.5737openalex-snapshot
Sentinel Shield: Leveraging ConvLSTM and Elephant Herd Optimization for Advanced Network Intrusion Detection
inferred← citeshttps://doi.org/10.4218/etrij.2019-0156openalex-snapshot
Supervised learning‐based DDoS attacks detection: Tuning hyperparameters
inferred← citeshttps://doi.org/10.47059/revistageintec.v11i4.2411openalex-snapshot
Towards Detecting Flooding DDOS Attacks Over Software Defined Networks Using Machine Learning Techniques
inferred← citeshttps://doi.org/10.47839/ijc.21.3.2691openalex-snapshot
Real-time DDoS Detection and Mitigation in Software Defined Networks using Machine Learning Techniques
inferred← citeshttps://doi.org/10.48550/arxiv.2012.06805openalex-snapshot
Filtering DDoS Attacks from Unlabeled Network Traffic Data Using Online Deep Learning
inferred← citeshttps://doi.org/10.48550/arxiv.2107.12612openalex-snapshot
Poisoning Online Learning Filters: DDoS Attacks and Countermeasures
inferred← citeshttps://doi.org/10.52339/tjet.v41i3.844openalex-snapshot
Isolation of DDoS Attacks and Flash Events in Internet Traffic Using Deep Learning Techniques
inferred← citeshttps://doi.org/10.5755/j01.itc.51.1.29595openalex-snapshot
A Comprehensive Review of Deep Learning Techniques for the Detection of (Distributed) Denial of Service Attacks
inferred← citeshttps://doi.org/10.58496/mjcs/2024/018openalex-snapshot
A Systematic Literature Review on Cyber Attack Detection in Software-Define Networking (SDN)
inferred← citeshttps://doi.org/10.59287/ijanser.726openalex-snapshot
EXPLORING THE LANDSCAPE OF SDN-BASED DDOS DEFENSE: A HOLISTIC EXAMINATION OF DETECTION AND MITIGATION APPROACHES, RESEARCH GAPS AND PROMISING AVENUES FOR FUTURE EXPLORATION
inferred← citeshttps://doi.org/10.70675/228e64e3z3554z4dfdz80d8z44963859a4abopenalex-snapshot
Study of the cost of measuring virtualized networks
inferred← citeshttps://doi.org/10.7225/toms.v09.n02.005openalex-snapshot
Evaluation of Montenegrin Seafarer's Awareness of Cyber Security
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