Mobile Edge Computing-Based Data-Driven Deep Learning Framework for Anomaly Detection.
Bilal HussainQinghe DuSihai ZhangAli ImranMuhammad Ali ImranPublished in: IEEE Access (2019)
Keyphrases
- anomaly detection
- data driven
- deep learning
- intrusion detection
- unsupervised learning
- network intrusion detection
- anomalous behavior
- intrusion detection system
- network traffic
- detecting anomalies
- probabilistic model
- decision trees
- one class support vector machines
- object detection
- negative selection algorithm
- network anomaly detection
- principal component analysis
- hidden markov models
- training set
- object recognition