Self-supervised Learning for Anomaly Detection in Computational Workflows.
Hongwei JinKrishnan RaghavanGeorge PapadimitriouCong WangAnirban MandalEwa DeelmanPrasanna BalaprakashPublished in: CoRR (2023)
Keyphrases
- anomaly detection
- connectionist systems
- intrusion detection
- learning algorithm
- learning process
- supervised learning
- unsupervised learning
- network traffic
- network intrusion detection
- reinforcement learning
- anomalous behavior
- detecting anomalies
- cost sensitive
- neural network
- detecting anomalous
- network anomaly detection
- computer security
- behavior analysis
- intrusion detection system
- feature selection
- active learning