Detecting Insider Threats Using RADISH: A System for Real-Time Anomaly Detection in Heterogeneous Data Streams.
Brock BoseBhargav AvasaralaSrikanta TirthapuraYung-Yu ChungDonald SteinerPublished in: IEEE Syst. J. (2017)
Keyphrases
- anomaly detection
- high dimensional data streams
- detecting anomalies
- data streams
- streaming data
- computer security
- detecting anomalous
- intrusion detection
- detect anomalies
- insider threat
- network traffic
- anomalous behavior
- unsupervised anomaly detection
- intrusion detection system
- network intrusion detection
- misuse detection
- one class support vector machines
- data sets
- network anomaly detection
- data assimilation
- sliding window
- cyber security
- computer vision
- unsupervised learning
- pattern recognition
- data mining
- negative selection algorithm
- learning algorithm
- concept drift
- information security
- clustering algorithm