Visual Analysis of Time-Series Similarities for Anomaly Detection in Sensor Networks.
Martin SteigerJürgen BernardSebastian MittelstädtHendrik Lücke-TiekeDaniel A. KeimThorsten MayJörn KohlhammerPublished in: Comput. Graph. Forum (2014)
Keyphrases
- sensor networks
- visual analysis
- anomaly detection
- detect anomalies
- intrusion detection
- wireless sensor networks
- detecting anomalies
- sensor data
- sensor nodes
- anomalous behavior
- network intrusion detection
- network traffic
- data streams
- communication cost
- information visualization
- similarity measure
- resource constrained
- network anomaly detection
- mobile sensor networks
- unsupervised learning
- energy consumption
- intrusion detection system
- data analysis
- one class support vector machines
- data mining
- heterogeneous sensor networks
- routing protocol
- network security
- data sets
- social network analysis
- data mining techniques
- social networks
- real world