SAD: An Unsupervised System for Subsequence Anomaly Detection.
Paul BoniolMichele LinardiFederico RoncalloThemis PalpanasPublished in: ICDE (2020)
Keyphrases
- anomaly detection
- unsupervised anomaly detection
- unsupervised learning
- novelty detection
- intrusion detection
- semi supervised
- network intrusion detection
- detecting anomalies
- anomalous behavior
- behavior analysis
- supervised learning
- network traffic
- intrusion detection system
- network anomaly detection
- computer security
- one class support vector machines
- negative selection algorithm
- detecting anomalous
- network security
- neural network
- dimensionality reduction
- connectionist systems
- text mining