Anomaly Detection in Particulate Matter Sensor using Hypothesis Pruning Generative Adversarial Network.
YeongHyeon ParkWon-Seok ParkYeong Beom KimSeok Woong ChangPublished in: CoRR (2019)
Keyphrases
- anomaly detection
- network traffic
- network anomaly detection
- detect anomalies
- intrusion detection
- network intrusion
- detecting anomalies
- network intrusion detection
- anomalous behavior
- intrusion detection system
- detecting anomalous
- unsupervised learning
- one class support vector machines
- computer security
- normal behavior
- intrusion prevention
- computer networks
- sensor data
- network security
- unsupervised anomaly detection
- sensor networks
- data sets
- dimensionality reduction
- data analysis
- connectionist systems
- feature selection
- data mining