Deep Learning Anomaly Detection for Cellular IoT With Applications in Smart Logistics.
Milos SavicMilan LukicDragan DanilovicZarko BodroskiDragana BajovicIvan MezeiDejan VukobratovicSrdjan SkrbicDusan JakoveticPublished in: IEEE Access (2021)
Keyphrases
- deep learning
- anomaly detection
- unsupervised learning
- intrusion detection
- detecting anomalies
- anomalous behavior
- network intrusion detection
- network traffic
- machine learning
- mental models
- intrusion detection system
- detect anomalies
- one class support vector machines
- network anomaly detection
- smart environments
- weakly supervised
- semi supervised
- feature selection
- negative selection algorithm
- text classification
- object recognition
- learning strategies
- data sets
- data mining techniques
- learning process