An Unsupervised Convolutional Adversarial Anomaly Detection Model for IoT Data Infrastructure.
Peian WenZhenyu YangLei WuSibo QiJuan ChenPublished in: HPCC/DSS/SmartCity/DependSys (2022)
Keyphrases
- anomaly detection
- data sets
- input data
- data sources
- data analysis
- network traffic
- knowledge discovery
- data points
- unsupervised learning
- intrusion detection
- normal behavior
- data assimilation
- network intrusion detection
- supervised learning
- data processing
- high dimensional
- intrusion detection system
- pairwise
- data mining methods
- computer security
- negative selection algorithm
- unsupervised anomaly detection