ResGCN: attention-based deep residual modeling for anomaly detection on attributed networks.
Yulong PeiTianjin HuangWerner van IpenburgMykola PechenizkiyPublished in: Mach. Learn. (2022)
Keyphrases
- anomaly detection
- intrusion detection
- detecting anomalies
- anomalous behavior
- network intrusion detection
- network traffic
- network anomaly detection
- unsupervised anomaly detection
- data assimilation
- behavior analysis
- computer security
- one class support vector machines
- intrusion detection system
- detect anomalies
- detecting anomalous
- social networks
- negative selection algorithm
- machine learning
- unsupervised learning
- network security
- computer networks
- social network analysis
- hidden markov models
- data analysis
- pattern recognition
- neural network