Parallel graph-based anomaly detection technique for sequential data.
Ahmed FaragHatem Abd El-KaderRashed K. SalemPublished in: J. King Saud Univ. Comput. Inf. Sci. (2022)
Keyphrases
- anomaly detection
- sequential data
- unsupervised anomaly detection
- hidden markov models
- intrusion detection
- anomalous behavior
- fixed length
- detecting anomalies
- network intrusion detection
- sequential patterns
- sequential pattern mining
- network anomaly detection
- pattern mining
- network traffic
- one class support vector machines
- sequence data
- pattern discovery
- detect anomalies
- variable length
- intrusion detection system
- multi dimensional
- spatio temporal
- semi supervised
- feature extraction
- negative selection algorithm
- real world
- unsupervised learning
- data mining