Hop-Count Based Self-Supervised Anomaly Detection on Attributed Networks.
Tianjin HuangYulong PeiVlado MenkovskiMykola PechenizkiyPublished in: CoRR (2021)
Keyphrases
- anomaly detection
- intrusion detection
- detecting anomalies
- anomalous behavior
- network traffic
- intrusion detection system
- network intrusion detection
- computer networks
- detect anomalies
- network anomaly detection
- network structure
- network security
- network topology
- cellular networks
- unsupervised learning
- data analysis
- one class support vector machines
- hop count
- communication networks
- routing protocol
- data mining
- dimensionality reduction
- negative selection algorithm
- social networks