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Multi-Scale Feature Fusion-Based Real-Time Anomaly Detection in Industrial Control Systems

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What this work says

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

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Cyberwarfare
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inferredcites →https://doi.org/10.1007/s10844-022-00753-1openalex-snapshot
Machine learning in industrial control system (ICS) security: current landscape, opportunities and challenges
inferredcites →https://doi.org/10.1007/s11222-022-10112-3openalex-snapshot
Real time anomaly detection and categorisation
inferredcites →https://doi.org/10.1016/j.comcom.2020.03.007openalex-snapshot
Industrial Control Systems: Cyberattack trends and countermeasures
inferredcites →https://doi.org/10.1016/j.comcom.2021.01.021openalex-snapshot
Deep Learning for Network Traffic Monitoring and Analysis (NTMA): A Survey
inferredcites →https://doi.org/10.1016/j.compeleceng.2021.107212openalex-snapshot
Intrusion detection based on hybrid classifiers for smart grid
inferredcites →https://doi.org/10.1016/j.cose.2019.101677openalex-snapshot
Cybersecurity for industrial control systems: A survey
inferredcites →https://doi.org/10.1016/j.engappai.2022.105805openalex-snapshot
GAN-AE: An unsupervised intrusion detection system for MQTT networks
inferredcites →https://doi.org/10.1016/j.engappai.2023.106597openalex-snapshot
Real-time anomaly detection on time series of industrial furnaces: A comparison of autoencoder architectures
inferredcites →https://doi.org/10.1016/j.knosys.2021.107086openalex-snapshot
Multi-scale Self-Organizing Map assisted Deep Autoencoding Gaussian Mixture Model for unsupervised intrusion detection
inferredcites →https://doi.org/10.1016/j.procs.2021.01.167openalex-snapshot
Multi-mode Systems for Resilient Security in Industry 4.0
inferredcites →https://doi.org/10.1016/j.ymssp.2024.111935openalex-snapshot
On the use of vibrations and temperatures for the monitoring of plastic chain conveyor systems
inferredcites →https://doi.org/10.1023/a:1010933404324openalex-snapshot
Random Forests
inferredcites →https://doi.org/10.1088/1742-6596/1192/1/012018openalex-snapshot
Improving AdaBoost-based Intrusion Detection System (IDS) Performance on CIC IDS 2017 Dataset
inferredcites →https://doi.org/10.1109/access.2019.2916887openalex-snapshot
Deep Multimodal Representation Learning: A Survey
inferredcites →https://doi.org/10.1109/access.2021.3083060openalex-snapshot
Machine Learning for Anomaly Detection: A Systematic Review
inferredcites →https://doi.org/10.1109/access.2021.3133348openalex-snapshot
Industrial and Critical Infrastructure Security: Technical Analysis of Real-Life Security Incidents
inferredcites →https://doi.org/10.1109/access.2022.3167814openalex-snapshot
Industrial Control System Anomaly Detection and Classification Based on Network Traffic
inferredcites →https://doi.org/10.1109/access.2023.3307628openalex-snapshot
Tutorial on Empirical Mode Decomposition: Basis Decomposition and Frequency Adaptive Graduation in Non-Stationary Time Series
inferredcites →https://doi.org/10.1109/cei52496.2021.9574505openalex-snapshot
Multivariate Time Series Anomaly Detection On Improved HTM Model
inferredcites →https://doi.org/10.1109/icdm50108.2020.00093openalex-snapshot
Multivariate Time-Series Anomaly Detection via Graph Attention Network
inferredcites →https://doi.org/10.1109/icdm50108.2020.00147openalex-snapshot
MERLIN: Parameter-Free Discovery of Arbitrary Length Anomalies in Massive Time Series Archives
inferredcites →https://doi.org/10.1109/icecai62591.2024.10675256openalex-snapshot
CluSAD: Self-Supervised Learning-Based Anomaly Detection for Industrial Control Systems
inferredcites →https://doi.org/10.1109/spc.2013.6735130openalex-snapshot
A simple statistical analysis approach for Intrusion Detection System
inferredcites →https://doi.org/10.1109/tii.2020.2970074openalex-snapshot
Increasing the Trustworthiness in the Industrial IoT Networks Through a Reliable Cyberattack Detection Model
inferredcites →https://doi.org/10.1109/tii.2023.3329684openalex-snapshot
Attention-Based Interval Aided Networks for Data Modeling of Heterogeneous Sampling Sequences With Missing Values in Process Industry
inferredcites →https://doi.org/10.1109/tits.2004.837813openalex-snapshot
Travel-Time Prediction With Support Vector Regression
inferredcites →https://doi.org/10.1111/j.1467-8667.2009.00620.xopenalex-snapshot
Near‐Term Travel Speed Prediction Utilizing Hilbert–Huang Transform
inferredcites →https://doi.org/10.1145/3696788openalex-snapshot
A Survey of Protocol Fuzzing
inferredcites →https://doi.org/10.14569/ijacsa.2022.0130338openalex-snapshot
Supervised Learning Techniques for Intrusion Detection System based on Multi-layer Classification Approach
inferredcites →https://doi.org/10.2307/j.ctv14jx6smopenalex-snapshot
Time Series Analysis
inferredcites →https://doi.org/10.3390/s20133738openalex-snapshot
LSTM-Based VAE-GAN for Time-Series Anomaly Detection
inferredcites →https://doi.org/10.36227/techrxiv.22307413.v2openalex-snapshot
A Survey on the Real-world Cyberattacks on the Industrial Internet of Things
inferredcites →https://doi.org/10.3837/tiis.2016.01.008openalex-snapshot
Integrating Granger Causality and Vector Auto-Regression for Traffic Prediction of Large-Scale WLANs
inferredcites →https://doi.org/10.6028/nist.sp.800-82r2openalex-snapshot
Guide to Industrial Control Systems (ICS) Security

What points at this work

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

inferred← citeshttps://doi.org/10.1007/978-981-92-5039-4_9openalex-snapshot
Temporal Modeling for Anomaly Detection in Industrial Control Systems
inferred← citeshttps://doi.org/10.1016/j.neucom.2025.131864openalex-snapshot
EUAD: End-to-end unsupervised anomaly detection based on few normal data
inferred← citeshttps://doi.org/10.1016/j.neucom.2026.133313openalex-snapshot
The double-edged sword: LLM operations (LLMOps) security in the cloud- a comprehensive review
inferred← citeshttps://doi.org/10.1016/j.ymssp.2026.114333openalex-snapshot
Multi-sensor anomaly detection using Scalograms and Kurtograms fusion on the Paderborn University dataset
inferred← citeshttps://doi.org/10.1080/10589759.2026.2624615openalex-snapshot
Research on an inversion method for internal detection of dual-magnetic field stress in pipelines based on the MCL-Net model
inferred← citeshttps://doi.org/10.1088/2631-8695/ae50abopenalex-snapshot
Anomaly detection for industrial robots based on temporal graph neural networks and differential privacy
inferred← citeshttps://doi.org/10.1109/access.2026.3653996openalex-snapshot
DualBERT: Fusing Symbolic and Temporal Dynamics for High-Precision Log Anomaly Detection
inferred← citeshttps://doi.org/10.1109/icdsis65355.2025.11070455openalex-snapshot
Recursive Feature Elimination with Adaptive Encryption Pattern Recognition for Real-Time Anomaly Detection
inferred← citeshttps://doi.org/10.1109/iciscn67954.2026.11566541openalex-snapshot
Adaptive Design Method for Digital Dashboard Based on Reinforcement Learning Metrics Recommendation
inferred← citeshttps://doi.org/10.3390/electronics15040797openalex-snapshot
Research on Movement Intention Recognition Based on CNN-LSTM
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