Preliminary Study for the Impact of Small Eigenvalues on Laplacian Anomaly Detection of Dynamic Networks.
Eriko SegawaYusuke SakumotoPublished in: COMPSAC (2022)
Keyphrases
- anomaly detection
- preliminary study
- dynamic networks
- intrusion detection
- detecting anomalies
- anomalous behavior
- network traffic
- network intrusion detection
- network structure
- network anomaly detection
- intrusion detection system
- network analysis
- one class support vector machines
- temporal evolution
- negative selection algorithm
- dynamic behavior
- unsupervised learning
- cumulative sum
- data sets
- real world networks
- data points
- object recognition
- machine learning