Anomaly Detection in Scientific Workflows using End-to-End Execution Gantt Charts and Convolutional Neural Networks.
Patrycja KrawczukGeorge PapadimitriouShubham NagarkarMariam KiranAnirban MandalEwa DeelmanPublished in: PEARC (2021)
Keyphrases
- end to end
- anomaly detection
- scientific workflows
- convolutional neural networks
- cumulative sum
- detecting anomalies
- intrusion detection
- scientific data
- service oriented
- semantic annotation
- network intrusion detection
- anomalous behavior
- network traffic
- web services
- intrusion detection system
- one class support vector machines
- workflow systems
- unsupervised learning
- network anomaly detection
- negative selection algorithm
- congestion control
- detect anomalies
- file system
- information systems
- data mining
- real world
- data management
- reinforcement learning