Rethinking graph anomaly detection: A self-supervised Group Discrimination paradigm with Structure-Aware.
Junyi YanEnguang ZuoChen ChenCheng ChenJie ZhongTianle LiXiaoyi LvPublished in: ICME (2023)
Keyphrases
- anomaly detection
- intrusion detection
- detecting anomalies
- anomalous behavior
- network anomaly detection
- network intrusion detection
- network traffic
- network security
- behavior analysis
- computer security
- negative selection algorithm
- unsupervised anomaly detection
- detecting anomalous
- one class support vector machines
- detect anomalies
- unsupervised learning
- intrusion detection system
- cumulative sum
- malware detection
- object recognition
- support vector
- clustering algorithm
- learning algorithm
- connectionist systems
- data sets