Anomaly Detection in Internet of Things Based on Logs Using Machine Learning and Deep Learning Techniques.
Huy-Trung NguyenNguyen Viet QuocPublished in: CNIOT (2023)
Keyphrases
- anomaly detection
- deep learning
- machine learning
- unsupervised learning
- intrusion detection
- anomalous behavior
- detecting anomalies
- one class support vector machines
- network intrusion detection
- network traffic
- intrusion detection system
- supervised learning
- detect anomalies
- mental models
- network anomaly detection
- negative selection algorithm
- dimensionality reduction
- feature selection
- decision trees
- data sets
- generative model
- expectation maximization
- learning strategies
- knowledge discovery
- object recognition
- weakly supervised
- pattern recognition
- computer vision
- learning algorithm
- information retrieval
- data mining