A Novel Sensor Data Pre-Processing Methodology for the Internet of Things Using Anomaly Detection and Transfer-By-Subspace-Similarity Transformation.
Yan ZhongSimon FongShimin HuRaymond K. WongWeiwei LinPublished in: Sensors (2019)
Keyphrases
- anomaly detection
- sensor data
- preprocessing
- sensor networks
- intrusion detection
- data streams
- anomalous behavior
- sensor measurements
- detecting anomalies
- network intrusion detection
- network traffic
- similarity measure
- sensor readings
- intrusion detection system
- human activities
- feature extraction
- network anomaly detection
- ubiquitous computing
- principal component analysis
- smart environments
- high dimensional
- health monitoring
- cumulative sum
- transfer learning
- one class support vector machines
- detect anomalies
- training set
- negative selection algorithm
- data analysis
- feature space
- learning algorithm
- unsupervised learning
- wireless sensor networks
- dimensionality reduction
- model selection