MemFormer: A memory based unified model for anomaly detection on metro railway tracks.
Ruikang LiuWeiming LiuMengfei DuanWei XieYuan DaiXianzhe LiaoPublished in: Expert Syst. Appl. (2024)
Keyphrases
- anomaly detection
- unified model
- intrusion detection
- detecting anomalies
- network traffic
- network intrusion detection
- anomalous behavior
- computer security
- unsupervised anomaly detection
- intrusion detection system
- negative selection algorithm
- detecting anomalous
- one class support vector machines
- unsupervised learning
- moving objects
- data sets
- behavior analysis
- neural network
- text classification
- machine learning
- network security
- malware detection
- data processing
- detect anomalies
- network intrusion
- active learning
- pattern recognition
- data mining