Real-Time Deep Learning-Based Anomaly Detection Approach for Multivariate Data Streams with Apache Flink.
Tae Wook HaJung Mo KangMyoung Ho KimPublished in: ICWE Workshops (2021)
Keyphrases
- activity recognition
- anomaly detection
- deep learning
- unsupervised learning
- data streams
- streaming data
- intrusion detection
- high dimensional data streams
- detecting anomalies
- network traffic
- network intrusion detection
- anomalous behavior
- intrusion detection system
- data sets
- network anomaly detection
- machine learning
- mental models
- dimensionality reduction
- concept drift
- weakly supervised
- pattern recognition
- one class support vector machines
- higher order
- semi supervised
- detect anomalies
- real world