A framework for anomaly detection and classification in Multiple IoT scenarios.
Francesco CauteruccioLuca CinelliEnrico CorradiniGiorgio TerracinaDomenico UrsinoLuca VirgiliClaudio SavaglioAntonio LiottaGiancarlo FortinoPublished in: Future Gener. Comput. Syst. (2021)
Keyphrases
- anomaly detection
- intrusion detection
- network intrusion detection
- detecting anomalies
- anomalous behavior
- unsupervised learning
- machine learning
- pattern recognition
- feature space
- support vector machine
- computer security
- network anomaly detection
- decision trees
- network traffic
- pattern classification
- cumulative sum
- data sets
- model selection
- supervised learning
- data warehouse
- feature extraction
- data mining