Energy-based anomaly detection a new perspective for predicting software failures.
Cristina MonniMauro PezzèPublished in: ICSE (NIER) (2019)
Keyphrases
- anomaly detection
- intrusion detection
- anomalous behavior
- network intrusion detection
- computer network security
- detecting anomalies
- network anomaly detection
- network traffic
- computer security
- unsupervised anomaly detection
- unsupervised learning
- one class support vector machines
- intrusion detection system
- behavior analysis
- network security
- detect anomalies
- detecting anomalous
- network intrusion
- maximum entropy
- information security
- negative selection algorithm
- cumulative sum
- data mining