IoT Anomaly Detection Using a Multitude of Machine Learning Algorithms.
Maria BalegaWaleed FaragSoundararajan EzekielXin-Wen WuAlicia DeakZaryn GoodPublished in: AIPR (2022)
Keyphrases
- machine learning algorithms
- anomaly detection
- benchmark data sets
- learning algorithm
- machine learning
- intrusion detection
- detecting anomalies
- anomalous behavior
- network intrusion detection
- machine learning methods
- decision trees
- learning problems
- learning tasks
- network traffic
- network anomaly detection
- detecting anomalous
- unsupervised anomaly detection
- intrusion detection system
- one class support vector machines
- negative selection algorithm
- machine learning approaches
- machine learning models
- statistical machine learning
- data mining
- cumulative sum
- support vector machine
- data analysis
- feature extraction