A semisupervised autoencoder-based approach for anomaly detection in high performance computing systems.
Andrea BorghesiAndrea BartoliniMichele LombardiMichela MilanoLuca BeniniPublished in: Eng. Appl. Artif. Intell. (2019)
Keyphrases
- reinforcement learning
- anomaly detection
- computing systems
- semi supervised
- intrusion detection
- computer systems
- network intrusion detection
- anomalous behavior
- detecting anomalies
- intrusion detection system
- unsupervised learning
- graphics processing units
- network traffic
- parallel computing
- network anomaly detection
- autonomic computing
- detecting anomalous
- one class support vector machines
- pairwise
- software developers
- supervised learning
- detect anomalies
- network security
- support vector machine
- connectionist systems