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A DDoS Attack Mitigation Scheme in ISP Networks Using Machine Learning Based on SDN
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Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1007/978-3-319-14717-8_39openalex-snapshot
kNN Algorithm with Data-Driven k Value
inferredcites →https://doi.org/10.1007/s11276-019-01991-yopenalex-snapshot
Lightweight solutions to counter DDoS attacks in software defined networking
inferredcites →https://doi.org/10.1016/j.comcom.2017.05.015openalex-snapshot
Real-time DDoS attack detection using FPGA
inferredcites →https://doi.org/10.1080/23742917.2017.1384213openalex-snapshot
Mathematical modelling of DDoS attack and detection using correlation
inferredcites →https://doi.org/10.1109/cata.2018.8398647openalex-snapshot
Detection of smurf flooding attacks using Kullback-Leibler-based scheme
inferredcites →https://doi.org/10.1109/ficloud.2018.00069openalex-snapshot
An Approach to Detecting Distributed Denial of Service Attacks in Software Defined Networks
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/glocom.2017.8254079openalex-snapshot
SDN-Based DDoS Attack Detection with Cross-Plane Collaboration and Lightweight Flow Monitoring
inferredcites →https://doi.org/10.1109/i-span.2018.00036openalex-snapshot
DDoS Attack Identification and Defense Using SDN Based on Machine Learning Method
inferredcites →https://doi.org/10.1109/icacci.2016.7732445openalex-snapshot
Detection of distributed denial of service attacks in software defined networks
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/ictc46691.2019.8939829openalex-snapshot
A Robust TCP-SYN Flood Mitigation Scheme Using Machine Learning Based on SDN
inferredcites →https://doi.org/10.1109/infocom.2016.7524500openalex-snapshot
DDoS attack detection under SDN context
inferredcites →https://doi.org/10.1109/milcom.2015.7357519openalex-snapshot
An SDN-supported collaborative approach for DDoS flooding detection and containment
inferredcites →https://doi.org/10.1109/surv.2013.031413.00127openalex-snapshot
A Survey of Defense Mechanisms Against Distributed Denial of Service (DDoS) Flooding Attacks
inferredcites →https://doi.org/10.1109/tit.1967.1053964openalex-snapshot
Nearest neighbor pattern classification
inferredcites →https://doi.org/10.1109/tnsm.2018.2861741openalex-snapshot
SAFETY: Early Detection and Mitigation of TCP SYN Flood Utilizing Entropy in SDN
inferredcites →https://doi.org/10.1145/3132062.3132074openalex-snapshot
A Defense System for Defeating DDoS Attacks in SDN based Networks
inferredcites →https://doi.org/10.1145/3301614openalex-snapshot
Software-defined Networking-based DDoS Defense Mechanisms
inferredcites →https://doi.org/10.1177/1550147717741463openalex-snapshot
A survey of distributed denial-of-service attack, prevention, and mitigation techniques
inferredcites →https://doi.org/10.1186/s13677-018-0109-4openalex-snapshot
An SVM-based framework for detecting DoS attacks in virtualized clouds under changing environment
inferredcites →https://doi.org/10.1214/aos/1013203451openalex-snapshot
Greedy function approximation: A gradient boosting machine.
inferredcites →https://doi.org/10.12783/dtem/iceme-ebm2016/4183openalex-snapshot
Implementation of an SDN-based Security Defense Mechanism Against DDoS Attacks
inferredcites →https://doi.org/10.20533/ijicr.2042.4655.2014.0060openalex-snapshot
An Intelligent DDoS Attack Detection System Using Packet Analysis and Support Vector Machine
inferredcites →https://doi.org/10.3390/fi10030023openalex-snapshot
SDN Based Collaborative Scheme for Mitigation of DDoS Attacks
inferredcites →https://doi.org/10.3390/info10030106openalex-snapshot
SDN-Based Intrusion Detection System for Early Detection and Mitigation of DDoS Attacks
inferredcites →https://doi.org/10.5815/ijcnis.2013.08.01openalex-snapshot
Analysis of the SYN Flood DoS Attack
inferredcites →https://doi.org/10.7763/ijet.2017.v9.1008openalex-snapshot
Detection and Defense Algorithms of Different Types of DDoS Attacks
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
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ONOS Flood Defender: An Intelligent Approach to Mitigate DDoS Attack in SDN
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Ensembled Machine Learning Techniques for DDoS Detection in SDN
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Toward Detecting DDoS Attacks in SDN with KD-KNN
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A systematic literature review on the accuracy of machine learning based DDoS detection techniques in Software Defined Networking
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RETRACTED ARTICLE: A Machine Learning Based Detection and Mitigation of the DDOS Attack by Using SDN Controller Framework
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ONOS DDoS Defender: A Comparative Analysis of Existing DDoS Attack Datasets using Ensemble Approach
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Towards Detection of DDoS Attacks in IoT with Optimal Features Selection
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FloodKnight: an intelligent DDoS defense scheme to combat attacks near attack entry points
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A Comprehensive Analysis of Machine Learning- and Deep Learning-Based Solutions for DDoS Attack Detection in SDN
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An Exhaustive Parametric Analysis for Securing SDN Through Traditional, AI/ML, and Blockchain Approaches: A Systematic Review
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Denial of service attacks in edge computing layers: Taxonomy, vulnerabilities, threats and solutions
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Capturing low-rate DDoS attack based on MQTT protocol in software Defined-IoT environment
inferred← citeshttps://doi.org/10.1016/j.compeleceng.2024.109282openalex-snapshot
DDoS SourceTracer: An Intelligent Application for DDoS Attack Mitigation in SDN
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A novel DDoS detection method using multi-layer stacking in SDN environment
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Deep learning-driven defense strategies for mitigating DDoS attacks in cloud computing environments
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Self-supervised network traffic management for DDoS mitigation within the ISP domain
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IoT-based WISNE-SDN detection and DDOS attack mitigation using machine learning techniques
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