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Detection of Unknown DDoS Attack Using Reconstruct Error and One-Class SVM Featuring Stochastic Gradient Descent

https://doi.org/10.3390/math11010108
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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1007/978-3-031-05981-0_7openalex-snapshot
IDSGAN: Generative Adversarial Networks for Attack Generation Against Intrusion Detection
inferredcites →https://doi.org/10.1007/s11227-020-03447-zopenalex-snapshot
Multi-level Gaussian mixture modeling for detection of malicious network traffic
inferredcites →https://doi.org/10.1080/1072303x.2021.2009952openalex-snapshot
Impact of COVID-19 and Renewed Awareness of Where We Could Improve
inferredcites →https://doi.org/10.1109/access.2021.3056614openalex-snapshot
Benchmarking of Machine Learning for Anomaly Based Intrusion Detection Systems in the CICIDS2017 Dataset
inferredcites →https://doi.org/10.1109/cbd51900.2020.00051openalex-snapshot
A Novel Network Intrusion Detection System Based on CNN
inferredcites →https://doi.org/10.1109/ccwc.2019.8666588openalex-snapshot
Deep Learning Models for Cyber Security in IoT Networks
inferredcites →https://doi.org/10.1109/cvpr.2016.173openalex-snapshot
Towards Open Set Deep Networks
inferredcites →https://doi.org/10.1109/cvpr.2019.00414openalex-snapshot
Classification-Reconstruction Learning for Open-Set Recognition
inferredcites →https://doi.org/10.1109/dasc-picom-cbdcom-cyberscitech49142.2020.00025openalex-snapshot
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
inferredcites →https://doi.org/10.1109/icassp39728.2021.9413570openalex-snapshot
Application-Layer DDOS Attacks with Multiple Emulation Dictionaries
inferredcites →https://doi.org/10.1109/icmla.2017.000-3openalex-snapshot
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/10.1155/2017/3691629openalex-snapshot
Low-Rate DDoS Attack Detection Using Expectation of Packet Size
inferredcites →https://doi.org/10.1186/s40537-021-00448-4openalex-snapshot
Intrusion detection systems using long short-term memory (LSTM)
inferredcites →https://doi.org/10.2139/ssrn.4106301openalex-snapshot
Spatial Location Constraint Prototype Loss for Open Set Recognition
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/electronics9101684openalex-snapshot
Utilising Deep Learning Techniques for Effective Zero-Day Attack Detection

What points at this work

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

inferred← citeshttps://doi.org/10.1007/978-3-031-42430-4_7openalex-snapshot
Reciprocal Points Learning Based Unknown DDoS Attacks Detection
inferred← citeshttps://doi.org/10.1007/978-3-031-73110-5_42openalex-snapshot
Machine Learning for Intrusion Detection Systems: A Systematic Literature Review
inferred← citeshttps://doi.org/10.1007/978-981-97-7839-3_17openalex-snapshot
Exploring Artificial Intelligence’s Potential in Developing Advanced Distributed Denial of Service Defense Strategies
inferred← citeshttps://doi.org/10.1016/j.sciaf.2024.e02386openalex-snapshot
Anomaly detection using unsupervised machine learning algorithms: A simulation study
inferred← citeshttps://doi.org/10.1109/access.2024.3388149openalex-snapshot
Open-Set Recognition in Unknown DDoS Attacks Detection With Reciprocal Points Learning
inferred← citeshttps://doi.org/10.1109/access.2024.3426295openalex-snapshot
Real-Time Recognition and Tracking in Urban Spaces Through Deep Learning: A Case Study
inferred← citeshttps://doi.org/10.1109/ickg66886.2025.00008openalex-snapshot
A Novel Transfer Learning Approach for Detecting Unseen Anomalies
inferred← citeshttps://doi.org/10.1109/tnsm.2023.3298533openalex-snapshot
Unknown, Atypical and Polymorphic Network Intrusion Detection: A Systematic Survey
inferred← citeshttps://doi.org/10.1142/s0219649224500333openalex-snapshot
Rap-Densenet Framework for Network Attack Detection and Classification
inferred← citeshttps://doi.org/10.1145/3726122.3726166openalex-snapshot
Bringing IoT Intrusion Detection to the Edge
inferred← citeshttps://doi.org/10.1371/journal.pone.0322839openalex-snapshot
DDoS attack detection method based on improved convolutional long short-term memory and three-way decision in SDN
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
inferred← citeshttps://doi.org/10.3390/data10110173openalex-snapshot
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/fi15090297openalex-snapshot
Explainable Lightweight Block Attention Module Framework for Network-Based IoT Attack Detection
inferred← citeshttps://doi.org/10.3390/math11092145openalex-snapshot
Detection of Unknown DDoS Attack Using Convolutional Neural Networks Featuring Geometrical Metric
inferred← citeshttps://doi.org/10.4018/979-8-3693-1565-1.ch013openalex-snapshot
Sustainable Islamic Financial Inclusion
inferred← citeshttps://doi.org/10.55969/paradigmplus.v4n2a1openalex-snapshot
A Framework for Robust Attack Detection and Classification using Rap-Densenet
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