A big data analytics based approach to anomaly detection.
Abdul RazaqHuaglory TianfieldPeter BarriePublished in: BDCAT (2016)
Keyphrases
- anomaly detection
- big data analytics
- big data
- intrusion detection
- anomalous behavior
- detecting anomalies
- network intrusion detection
- network traffic
- intrusion detection system
- one class support vector machines
- social media
- unsupervised anomaly detection
- network anomaly detection
- detect anomalies
- behavior analysis
- detecting anomalous
- data mining
- unsupervised learning
- network security
- negative selection algorithm
- cloud computing
- knowledge discovery
- malware detection
- high dimensional
- data analysis
- network intrusion
- image segmentation
- social networks
- data sets
- database