GADAL: An Active Learning Framework for Graph Anomaly Detection.
Wenjing ChangJianjun YuXiaojun ZhouPublished in: APWeb/WAIM (1) (2022)
Keyphrases
- anomaly detection
- intrusion detection
- detecting anomalies
- anomalous behavior
- active learning framework
- network intrusion detection
- active learning
- unsupervised anomaly detection
- network traffic
- network anomaly detection
- behavior analysis
- one class support vector machines
- malware detection
- detecting anomalous
- detect anomalies
- computer security
- intrusion detection system
- connectionist systems
- cumulative sum
- data sets
- network security
- negative selection algorithm
- unsupervised learning
- pattern recognition