Seeing is understanding: anomaly detection in blockchains with visualized features.
Andreas BognerPublished in: UbiComp/ISWC Adjunct (2017)
Keyphrases
- anomaly detection
- intrusion detection
- anomalous behavior
- detecting anomalies
- network intrusion detection
- unsupervised anomaly detection
- behavior analysis
- intrusion detection system
- network traffic
- detecting anomalous
- network security
- computer security
- negative selection algorithm
- network anomaly detection
- knowledge discovery
- cumulative sum
- sparse pca
- feature selection
- unsupervised learning
- connectionist systems
- one class support vector machines
- decision trees
- detect anomalies
- feature extraction
- computer vision
- feature vectors