A framework for scalable real-time anomaly detection over voluminous, geospatial data streams.
Walid BudgagaMatthew MalensekSangmi Lee PallickaraShrideep PallickaraPublished in: Concurr. Comput. Pract. Exp. (2017)
Keyphrases
- anomaly detection
- intrusion detection
- data streams
- detecting anomalies
- streaming data
- anomalous behavior
- computer security
- data assimilation
- network traffic
- network intrusion detection
- detecting anomalous
- behavior analysis
- unsupervised anomaly detection
- data sets
- network anomaly detection
- feature extraction
- data mining
- unsupervised learning
- probabilistic model
- object recognition
- decision trees
- learning algorithm
- connectionist systems