A Hybrid Anomaly Detection Framework in Cloud Computing Using One-Class and Two-Class Support Vector Machines.
Song FuJianguo LiuHusanbir Singh PannuPublished in: ADMA (2012)
Keyphrases
- anomaly detection
- cloud computing
- data center
- intrusion detection
- support vector
- anomalous behavior
- map reduce
- computer security
- network traffic
- computing paradigm
- intrusion detection system
- computing resources
- data management
- network intrusion detection
- cloud computing environment
- detecting anomalies
- one class support vector machines
- network anomaly detection
- data sets
- commodity hardware
- databases
- service providers
- probabilistic model
- mapreduce framework
- security issues
- unsupervised learning
- data processing
- negative selection algorithm