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Design and Evaluation of Unsupervised Machine Learning Models for Anomaly Detection in Streaming Cybersecurity Logs

https://doi.org/10.3390/math10214043
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What this work says

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

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An Integral Software Solution of the SGTM Neural-Like Structures Implementation for Solving Different Data Mining Tasks
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Model and Principles for the Implementation of Neural-Like Structures Based on Geometric Data Transformations
inferredcites →https://doi.org/10.1007/s42979-021-00592-xopenalex-snapshot
Machine Learning: Algorithms, Real-World Applications and Research Directions
inferredcites →https://doi.org/10.1016/j.aap.2020.105703openalex-snapshot
Automatic incident detection on freeways based on Bluetooth traffic monitoring
inferredcites →https://doi.org/10.1016/j.asoc.2019.105650openalex-snapshot
Unsupervised anomaly detection in unmanned aerial vehicles
inferredcites →https://doi.org/10.1109/access.2018.2810267openalex-snapshot
Clustering Approach Based on Mini Batch Kmeans for Intrusion Detection System Over Big Data
inferredcites →https://doi.org/10.1109/access.2019.2963407openalex-snapshot
Evaluation of Cybersecurity Data Set Characteristics for Their Applicability to Neural Networks Algorithms Detecting Cybersecurity Anomalies
inferredcites →https://doi.org/10.1109/iucc/dsci/smartcns.2019.00126openalex-snapshot
Comprehensive IoT SIM Card Anomaly Detection Algorithm Based on Big Data
inferredcites →https://doi.org/10.1109/tccn.2019.2911524openalex-snapshot
Unsupervised Wireless Spectrum Anomaly Detection With Interpretable Features
inferredcites →https://doi.org/10.1126/science.290.5500.2319openalex-snapshot
A Global Geometric Framework for Nonlinear Dimensionality Reduction
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UMAP: Uniform Manifold Approximation and Projection
inferredcites →https://doi.org/10.26438/ijcse/v7i5.13381344openalex-snapshot
Survey of Clustering Methods for Large Scale Dataset
inferredcites →https://doi.org/10.26599/tst.2019.9010051openalex-snapshot
A hybrid unsupervised clustering-based anomaly detection method
inferredcites →https://doi.org/10.3390/app10103430openalex-snapshot
Efficient Distributed Preprocessing Model for Machine Learning-Based Anomaly Detection over Large-Scale Cybersecurity Datasets
inferredcites →https://doi.org/10.3390/s17122856openalex-snapshot
Smart CEI Moncloa: An IoT-based Platform for People Flow and Environmental Monitoring on a Smart University Campus
inferredcites →https://doi.org/10.3390/s19112451openalex-snapshot
FuseAD: Unsupervised Anomaly Detection in Streaming Sensors Data by Fusing Statistical and Deep Learning Models
inferredcites →https://doi.org/10.3390/s21113863openalex-snapshot
AFOROS: A Low-Cost Wi-Fi-Based Monitoring System for Estimating Occupancy of Public Spaces

What points at this work

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

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A Review of Unlabeled and Imbalanced Data Challenges in Machine Learning: Strategies and Solutions
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Hybrid network intrusion detection system based on sliding window and information entropy in imbalanced dataset
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Unsupervised Anomaly Detection Approach for Cyberattack Identification
inferred← citeshttps://doi.org/10.1109/ciot67574.2025.11410124openalex-snapshot
Anomaly Detection in Internet of Things IAM Logs via Perplexity Scoring
inferred← citeshttps://doi.org/10.1109/icc59986.2023.10420855openalex-snapshot
Network Abnormal Log Clustering Algorithm Based on DBSCAN
inferred← citeshttps://doi.org/10.1109/icdsis65355.2025.11070702openalex-snapshot
Attention based Graph Convolutional Network for IoT Cybersecurity Anomaly Detection with Hyperparameter Sensitivity Analysis
inferred← citeshttps://doi.org/10.1109/icecet63943.2025.11472426openalex-snapshot
Enhancing IoT Security: AI-Driven Anomaly Detection Techniques and Their Applications
inferred← citeshttps://doi.org/10.1109/ickecs65700.2025.11035332openalex-snapshot
Leveraging Transfer Learning for Enhanced Cybersecurity Threat Detection: A Novel Approach For Identifying Anomalies and Attacks
inferred← citeshttps://doi.org/10.1145/3801438.3806934openalex-snapshot
Deep Feature Learning-Based Identification of Soil Gas Anomalies in Chifeng Faults
inferred← citeshttps://doi.org/10.3390/a19080653openalex-snapshot
Artificial Intelligence for Cybersecurity: A Scoping Survey of Paradigms, Applications, and Emerging Trends
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A Hybrid Intrusion Detection Framework Using Deep Autoencoder and Machine Learning Models
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Leveraging Explainable Artificial Intelligence in Real-Time Cyberattack Identification: Intrusion Detection System Approach
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Adaptive Cybersecurity Neural Networks: An Evolutionary Approach for Enhanced Attack Detection and Classification
inferred← citeshttps://doi.org/10.3390/app15010286openalex-snapshot
Enhancing Anomaly Detection Through Latent Space Manipulation in Autoencoders: A Comparative Analysis
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A Novel Generative AI-Based Approach for Robust Anomaly Identification in High-Dimensional Dataset
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Harnessing Machine Learning for Effective Cyber security Classifiers
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