Adaptive Anomaly Detection in Industrial Systems: An EVT-DTS Approach with LSTM Autoencoders.
Bing YuJiakai XuGang XiangRuishi LinLiGuo ZhaoYang YuPublished in: I2MTC (2024)
Keyphrases
- anomaly detection
- industrial systems
- intrusion detection
- industrial applications
- detecting anomalies
- network intrusion detection
- computational intelligence
- fault diagnosis
- anomalous behavior
- intrusion detection system
- unsupervised learning
- behavior analysis
- denoising
- network traffic
- unsupervised anomaly detection
- computer security
- complex systems
- network anomaly detection
- intelligent systems
- detecting anomalous
- detect anomalies
- normal behavior
- supervised learning
- network intrusion
- one class support vector machines
- negative selection algorithm
- cumulative sum
- network security
- machine learning
- recurrent neural networks
- pattern mining
- high dimensional
- genetic algorithm