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Multi-Scale Anomaly Detection for Time Series with Attention-based Recurrent Autoencoders.
Qingning Lu
Wenzhong Li
Chuanze Zhu
Yizhou Chen
Yinke Wang
Zhijie Zhang
Linshan Shen
Sanglu Lu
Published in:
ACML (2022)
Keyphrases
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anomaly detection
multiscale
detect anomalies
intrusion detection
anomalous behavior
detecting anomalies
unsupervised anomaly detection
network intrusion detection
network traffic
computer security
intrusion detection system
network security
image processing
detecting anomalous
recurrent neural networks
behavior analysis
malware detection
denoising
training data
one class support vector machines
network anomaly detection
activity recognition
self organizing maps
unsupervised learning
feature extraction
data mining