An in-depth experimental study of anomaly detection using gradient boosted machine.
Bayu Adhi TamaKyung-Hyune RheePublished in: Neural Comput. Appl. (2019)
Keyphrases
- experimental study
- anomaly detection
- intrusion detection
- detecting anomalies
- anomalous behavior
- network intrusion detection
- unsupervised anomaly detection
- detect anomalies
- computer security
- network traffic
- intrusion detection system
- network security
- detecting anomalous
- behavior analysis
- one class support vector machines
- negative selection algorithm
- experimental evaluation
- malware detection
- cumulative sum
- connectionist systems
- data assimilation
- normal behavior
- network anomaly detection
- network intrusion
- data sets
- neural network