A Custom Unsupervised Approach for Pipe-Freeze Online Anomaly Detection.
Ahmed SolimanSanguthevar RajasekaranPatrick TomanNalini RavishankerNathan LallyHunter D'AddeoPublished in: WF-IoT (2021)
Keyphrases
- anomaly detection
- unsupervised anomaly detection
- unsupervised learning
- intrusion detection
- novelty detection
- network traffic
- anomalous behavior
- network anomaly detection
- network intrusion detection
- behavior analysis
- semi supervised
- detecting anomalies
- intrusion detection system
- detecting anomalous
- one class support vector machines
- computer security
- supervised learning
- normal behavior
- detect anomalies
- network security
- data mining
- malware detection
- hidden markov models
- data points
- data analysis
- pattern recognition
- negative selection algorithm
- data assimilation
- connectionist systems
- genetic algorithm