A Feature Selection Algorithm for Anomaly Detection in Grid Environment Using k-fold Cross Validation Technique.
DahliyusmantoTutut HerawanSyefrida YulinaAbdul Hanan AbdullahPublished in: SCDM (2016)
Keyphrases
- anomaly detection
- grid environment
- grid computing
- resource allocation
- data access
- intrusion detection
- scheduling algorithm
- network intrusion detection
- anomalous behavior
- intrusion detection system
- network traffic
- service providers
- detecting anomalies
- data transfer
- agent technology
- one class support vector machines
- network anomaly detection
- security issues
- resource management
- unsupervised learning
- computer networks
- multi agent
- machine learning