Fast, lightweight IoT anomaly detection using feature pruning and PCA.
John CarterSpiros MancoridisErick GalinkinPublished in: SAC (2022)
Keyphrases
- lightweight
- anomaly detection
- intrusion detection
- detecting anomalies
- principal component analysis
- tensor analysis
- sparse pca
- network intrusion detection
- intrusion detection system
- anomalous behavior
- unsupervised anomaly detection
- network traffic
- development environments
- one class support vector machines
- network anomaly detection
- high dimensional
- detect anomalies
- negative selection algorithm
- detecting anomalous
- network security
- behavior analysis
- feature extraction
- principle component analysis
- computer vision
- unsupervised learning
- face recognition
- computer systems
- wireless sensor networks
- object recognition
- support vector
- cumulative sum