An ML Based Anomaly Detection System in real-time data streams.
Javier Jose Diaz RiveraTalha Ahmed KhanWaleed AkbarMuhammad AfaqWang-Cheol SongPublished in: CSCI (2021)
Keyphrases
- anomaly detection
- data streams
- streaming data
- intrusion detection
- high dimensional data streams
- detecting anomalies
- anomalous behavior
- network intrusion detection
- network traffic
- intrusion detection system
- unsupervised anomaly detection
- maximum likelihood
- computer security
- sliding window
- detect anomalies
- one class support vector machines
- network anomaly detection
- data assimilation
- detecting anomalous
- network security
- malware detection
- data sets
- behavior analysis
- sensor data
- semi supervised
- feature selection
- cumulative sum
- negative selection algorithm
- unsupervised learning
- concept drift