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Self-Supervised Learning for Online Anomaly Detection in High-Dimensional Data Streams

https://doi.org/10.3390/electronics12091971

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What this work says

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

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History-Based Anomaly Detector: An Adversarial Approach to Anomaly Detection

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Overcoming catastrophic forgetting in neural networks

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Multivariate Two-Sample Tests Based on Nearest Neighbors

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CONTINUOUS INSPECTION SCHEMES

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Efficient scalable schemes for monitoring a large number of data streams

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Quickest hub discovery in correlation graphs

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Adversarially Learned One-Class Classifier for Novelty Detection

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Continual Learning for Anomaly Detection in Surveillance Videos

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Reward Once, Penalize Once: Rectifying Time Series Anomaly Detection

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Threshold Tuning-Based Wearable Sensor Fault Detection for Reliable Medical Monitoring Using Bayesian Network Model

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N-BaIoT—Network-Based Detection of IoT Botnet Attacks Using Deep Autoencoders

inferredcites →https://doi.org/10.1109/tifs.2011.2107320openalex-snapshot

Low-Rate DDoS Attacks Detection and Traceback by Using New Information Metrics

inferredcites →https://doi.org/10.1109/tnnls.2018.2804443openalex-snapshot

Concept Drift and Anomaly Detection in Graph Streams

inferredcites →https://doi.org/10.1109/tpami.2014.2321376openalex-snapshot

Scalable Nearest Neighbor Algorithms for High Dimensional Data

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Machine Learning-Based Anomaly Detection for Load Forecasting Under Cyberattacks

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NEWMA: A New Method for Scalable Model-Free Online Change-Point Detection

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Hardware Trojan Detection Using Changepoint-Based Anomaly Detection Techniques

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Feature bagging for outlier detection

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Anomaly detection

inferredcites →https://doi.org/10.1145/2576802.2576804openalex-snapshot

Asymptotic series of generalized Lambert W function

inferredcites →https://doi.org/10.1145/2689746.2689747openalex-snapshot

Anomaly Detection Using Autoencoders with Nonlinear Dimensionality Reduction

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Detecting Spacecraft Anomalies Using LSTMs and Nonparametric Dynamic Thresholding

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Sequential change-point detection based on nearest neighbors

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Procedures for Reacting to a Change in Distribution

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Optimal Stopping Times for Detecting Changes in Distributions

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A Multivariate Two-Sample Test Based on the Number of Nearest Neighbor Type Coincidences

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Investigating Ad Transparency Mechanisms in Social Media: A Case Study of Facebook's Explanations

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Explaining the Success of Nearest Neighbor Methods in Prediction

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BeatGAN: Anomalous Rhythm Detection using Adversarially Generated Time Series

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RSU-Based Online Intrusion Detection and Mitigation for VANET

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Real-Time Detection and Classification of Power Quality Disturbances

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Statistical Analysis of Nearest Neighbor Methods for Anomaly Detection

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A Classification Framework for Anomaly Detection

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TIMELY DETECTION AND MITIGATION OF STEALTHY DDOS ATTACKS VIA IOT NETWORKS

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Anomaly Detection of Multimedia Data Using High Contrast Subspace Algorithm Based on Mutual Information Related Feature Screening

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A comprehensive survey on techniques, challenges, evaluation metrics and applications of deep learning models for anomaly detection

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ATADA: Adaptive Time Aware Anomaly Detection Approach for Real-Time Intelligent Transportation Systems

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Research on Web System Anomaly Detection and Intelligent Operations Based on Log Modeling and Self-Supervised Learning

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Self-Supervised Anomaly Detection for DoS Attacks Using Autoencoders with Attention Mechanism and Real-Time Detection

inferred← citeshttps://doi.org/10.1109/icoici65217.2025.11254482openalex-snapshot

NetSage: Self-Supervised Learning for Real-Time Anomaly Detection in Encrypted Network Traffic

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HTM-CDFK: An Online Industrial Control Anomaly Detection Algorithm Based on Hierarchical Time Memory

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ACO-RTCov: An Ant Colony Optimization Framework for Real-Time Covariance Detection in 6G-Enabled IoT Networks

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Promise and pitfalls of random projection algorithms for optical processors

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An Anomaly Detection Model for Streaming Data with Integrated Quality of Service Optimization

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An Intuitionistic Fuzzy-Rough Set-Based Classification for Anomaly Detection

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Real-Time Anomaly Detection with Subspace Periodic Clustering Approach

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Interpretable Single-dimension Outlier Detection (ISOD): An Unsupervised Outlier Detection Method Based on Quantiles and Skewness Coefficients

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