K-means Application for Anomaly Detection and Log Classification in HPC.
Mohamed-Cherif DaniHenri DoreauSamantha AltPublished in: IEA/AIE (2) (2017)
Keyphrases
- anomaly detection
- intrusion detection
- clustering analysis
- k means
- novelty detection
- anomalous behavior
- network intrusion detection
- behavior analysis
- pattern recognition
- network anomaly detection
- unsupervised learning
- intrusion detection system
- network traffic
- clustering algorithm
- detecting anomalies
- data mining
- detect anomalies
- feature vectors
- network security
- support vector machine
- computer security
- decision trees
- data sets
- semi supervised
- computer vision
- one class support vector machines
- unsupervised anomaly detection