MTHM: Self-Supervised Multitask Anomaly Detection With Hard Example Mining.
Chenkai ZhangYueming WangWenming TanPublished in: IEEE Trans. Instrum. Meas. (2023)
Keyphrases
- anomaly detection
- multi task
- multi task learning
- intrusion detection
- detect anomalies
- multitask learning
- anomalous behavior
- network intrusion detection
- network traffic
- detecting anomalies
- learning tasks
- multi class
- one class support vector machines
- intrusion detection system
- transfer learning
- network anomaly detection
- data mining
- gaussian processes
- text mining
- knowledge discovery
- active learning
- neural network
- negative selection algorithm
- data mining applications
- learning problems
- unsupervised learning
- data mining techniques
- reinforcement learning
- bayesian networks
- machine learning