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Cluster-based deep one-class classification model for anomaly detection
Younghwan Kim,
Huy Kang Kim
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Article
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peer-review
3
Citations (Scopus)
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Keyphrases
Anomaly Detection
100%
Classification Model
100%
Cluster-based
100%
Cyber-physical Systems
100%
Deep One-class Classification
100%
Logit
50%
Deep Learning Model
50%
Performance Improvement
25%
Algorithm Learning
25%
Clustering Algorithm
25%
Malicious Behavior
25%
Big Data
25%
Sensor Data
25%
Data Security
25%
Detecting Anomalies
25%
Cyber-attacks
25%
Anomaly Behavior
25%
Behavior Learning
25%
K-means Clustering Algorithm
25%
Normal Behavior
25%
Optimal number of Clusters
25%
F1 Score
25%
Autoencoder
25%
Anomaly Detection Model
25%
Model Train
25%
Knowledge Distillation
25%
SVM-RBF
25%
OCC Model
25%
HAI Dataset
25%
Swat
25%
Computer Science
Anomaly Detection
100%
Class Classification
100%
Classification Models
100%
Cyber Physical Systems
100%
Deep Learning Model
50%
Support Vector Machine
25%
Clustering Algorithm
25%
Radial Basis Function
25%
Performance Improvement
25%
Big Data
25%
Malicious Behavior
25%
Detect Anomaly
25%
Cyber Attack
25%
k-means Clustering
25%
Normal Behavior
25%
Knowledge Distillation
25%
Earth and Planetary Sciences
Real Time
100%
Big Data
100%
Chemical Engineering
Deep Learning Method
100%