Anomaly Detection in Hadoop Clusters Using PCA and DBSCAN.
Xiao YangYan LiuZunhe LiuBuyang CaoPublished in: ICS (2014)
Keyphrases
- anomaly detection
- clustering algorithm
- density based clustering
- density based clustering algorithm
- principal component analysis
- data clustering
- k means
- intrusion detection
- spatial clustering
- tensor analysis
- cluster analysis
- anomalous behavior
- network intrusion detection
- sparse pca
- detecting anomalies
- unsupervised learning
- face recognition
- network traffic
- unsupervised anomaly detection
- computer security
- dimensionality reduction
- detecting anomalous
- intrusion detection system
- cloud computing
- behavior analysis
- network anomaly detection
- high dimensional
- clustering method
- network security
- one class support vector machines
- feature extraction
- dense regions
- detect anomalies
- normal behavior
- arbitrary shape
- connectionist systems
- machine learning
- object recognition
- data points
- network intrusion
- knowledge discovery