A Deep Learning Approach to Distributed Anomaly Detection for Edge Computing.
Okwudili M. EzemeQusay H. MahmoudAkramul AzimPublished in: ICMLA (2019)
Keyphrases
- anomaly detection
- deep learning
- unsupervised learning
- intrusion detection
- detecting anomalies
- anomalous behavior
- network intrusion detection
- network traffic
- machine learning
- mental models
- intrusion detection system
- negative selection algorithm
- one class support vector machines
- supervised learning
- reinforcement learning
- learning algorithm
- detect anomalies
- network anomaly detection
- neural network
- co occurrence
- weakly supervised
- feature selection
- information retrieval
- data mining
- real world