Fast Anomaly Detection in Multiple Multi-Dimensional Data Streams.
Hongyu SunQiang HeKewen LiaoTimos SellisLongkun GuoXuyun ZhangJun ShenFeifei ChenPublished in: IEEE BigData (2019)
Keyphrases
- anomaly detection
- multi dimensional
- data streams
- streaming data
- intrusion detection
- network traffic
- detecting anomalies
- high dimensional data streams
- anomalous behavior
- intrusion detection system
- network intrusion detection
- network anomaly detection
- unsupervised learning
- detecting anomalous
- data sets
- computer security
- concept drift
- one class support vector machines
- detect anomalies
- sliding window
- malware detection
- network intrusion
- network security
- unsupervised anomaly detection
- active learning
- behavior analysis
- cumulative sum
- data mining