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Detection of Unknown DDoS Attack Using Convolutional Neural Networks Featuring Geometrical Metric
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
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Deep Dual Support Vector Data description for anomaly detection on attributed networks
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A comprehensive survey on DDoS attacks on various intelligent systems and it's defense techniques
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Advances in Knowledge Discovery and Data Mining
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Frontiers in Cyber Security
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Deep learning approaches for detecting DDoS attacks: a systematic review
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An optimized model for network intrusion detection systems in industry 4.0 using XAI based Bi-LSTM framework
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Multi-level Gaussian mixture modeling for detection of malicious network traffic
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A hybrid machine learning approach for detecting unprecedented DDoS attacks
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Distributed denial of service attack prediction: Challenges, open issues and opportunities
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Artificial intelligence for sustainability: Challenges, opportunities, and a research agenda
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CICIDS-2017 Dataset Feature Analysis With Information Gain for Anomaly Detection
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Benchmarking of Machine Learning for Anomaly Based Intrusion Detection Systems in the CICIDS2017 Dataset
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A Novel Network Intrusion Detection System Based on CNN
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Deep Learning Models for Cyber Security in IoT Networks
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Classification-Reconstruction Learning for Open-Set Recognition
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Intrusion Traffic Detection and Characterization using Deep Image Learning
inferredcites →https://doi.org/10.1109/icaiic48513.2020.9064976openalex-snapshot
1D CNN based network intrusion detection with normalization on imbalanced data
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Incremental Open Set Intrusion Recognition Using Extreme Value Machine
inferredcites →https://doi.org/10.1109/icmla.2019.00206openalex-snapshot
An Intrusion Detection System for Multi-class Classification Based on Deep Neural Networks
inferredcites →https://doi.org/10.1109/isncc49221.2020.9297264openalex-snapshot
Polymorphic Adversarial DDoS attack on IDS using GAN
inferredcites →https://doi.org/10.1109/noms47738.2020.9110372openalex-snapshot
DDoS Attacks Detection with AutoEncoder
inferredcites →https://doi.org/10.1186/s40537-021-00448-4openalex-snapshot
Intrusion detection systems using long short-term memory (LSTM)
inferredcites →https://doi.org/10.33851/jmis.2019.6.4.165openalex-snapshot
An Intrusion Detection Model based on a Convolutional Neural Network
inferredcites →https://doi.org/10.3390/app11115213openalex-snapshot
Detection of Unknown DDoS Attacks with Deep Learning and Gaussian Mixture Model
inferredcites →https://doi.org/10.3390/app13031252openalex-snapshot
Explainable Artificial Intelligence (XAI) for Intrusion Detection and Mitigation in Intelligent Connected Vehicles: A Review
inferredcites →https://doi.org/10.3390/electronics9030444openalex-snapshot
Towards Near-Real-Time Intrusion Detection for IoT Devices using Supervised Learning and Apache Spark
inferredcites →https://doi.org/10.3390/electronics9101684openalex-snapshot
Utilising Deep Learning Techniques for Effective Zero-Day Attack Detection
inferredcites →https://doi.org/10.3390/math11010108openalex-snapshot
Detection of Unknown DDoS Attack Using Reconstruct Error and One-Class SVM Featuring Stochastic Gradient Descent
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Unsupervised Outlier Detection in IOT Using Deep VAE
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A Slow DDoS Attack Detection Mechanism using Feature Weighing and Ranking
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Reliable Fidelity and Diversity Metrics for Generative Models
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
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Detection of DDoS Attacks in Computer Networks Using Deep Learning
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A Transformer and Federated Learning Techniques for Detecting DDoS Attacks in IoT Environments
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Detection of application-layer DDoS attacks using machine learning and genetic algorithms
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A DDoS attack detection method combining federated learning and hybrid deep learning in software-defined networking
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Open-Set Recognition in Unknown DDoS Attacks Detection With Reciprocal Points Learning
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DDOS Attack Identification Using Machine Learning Techniques
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Retracted: A Machine Learning Approach for Adversarial Attack Detection and Mitigation in Cybersecurity
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Improved Whale Optimization Algorithm and Optimized Long Short-Term Memory for DDoS Cyber Security Threat
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Intrusion Detection System Based on Machine Learning Algorithm to Detect the DDoS Attack in the IoT Network
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ElNnGA: An Artificial Intelligence Empowered Scheme for Unknown Attack Recognition and Defense Strategy Recommendation
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A Malicious Traffic Detection Method Based on 1D ConvNeXt and Multi-Scale Patches
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DDoS Attacks: Detection Techniques, Challenges, and Modern Practices
inferred← citeshttps://doi.org/10.1109/tnsm.2024.3431701openalex-snapshot
BCDM: An Early-Stage DDoS Incident Monitoring Mechanism Based on Binary-CNN in IPv6 Network
inferred← citeshttps://doi.org/10.1371/journal.pone.0312425openalex-snapshot
Distributed Denial of Services (DDoS) attack detection in SDN using Optimizer-equipped CNN-MLP
inferred← citeshttps://doi.org/10.2478/ias-2026-0019openalex-snapshot
A Hybrid Z-Isomorphic GNN Framework for Robust DDoS Attack Detection in Software-Defined Networks
inferred← citeshttps://doi.org/10.32604/cmc.2024.047387openalex-snapshot
Unknown DDoS Attack Detection with Fuzzy C-Means Clustering and Spatial Location Constraint Prototype Loss
inferred← citeshttps://doi.org/10.32604/cmc.2025.061001openalex-snapshot
Unknown DDoS Attack Detection with Sliced Iterative Normalizing Flows Technique
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Lightweight intrusion detection system using multiscale attention 1D CNN for large scale internet of things
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Method for Detecting Low-Intensity DDoS Attacks Based on a Combined Neural Network and Its Application in Law Enforcement Activities
inferred← citeshttps://doi.org/10.3390/e25050821openalex-snapshot
TSFN: A Novel Malicious Traffic Classification Method Using BERT and LSTM
inferred← citeshttps://doi.org/10.3390/electronics15184132openalex-snapshot
Deep Learning Approaches for Real-Time DDoS Detection in Network-Based Systems: A Comprehensive and Analytical Review
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
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P4-HLDMC: A Novel Framework for DDoS and ARP Attack Detection and Mitigation in SD-IoT Networks Using Machine Learning, Stateful P4, and Distributed Multi-Controller Architecture
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Optimized MLP-CNN Model to Enhance Detecting DDoS Attacks in SDN Environment
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Sustainable Islamic Financial Inclusion
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Effective Intrusion Detection System Using Deep Learning for DDoS Attacks
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