Imposters Among Us: A Supervised Learning Approach to Anomaly Detection in IoT Sensor Data.
Tapadhir DasRaj Mani ShuklaShamik SenguptaPublished in: WF-IoT (2021)
Keyphrases
- sensor data
- anomaly detection
- supervised learning
- unsupervised learning
- location information
- intrusion detection
- sensor networks
- detecting anomalies
- management system
- network anomaly detection
- anomalous behavior
- active learning
- network intrusion detection
- training data
- one class support vector machines
- training set
- data streams
- human activities
- sensor measurements
- learning algorithm
- semi supervised
- machine learning
- sensor web
- detect anomalies
- health monitoring
- sensor readings
- raw sensor data
- network traffic
- intrusion detection system
- cloud computing
- data sets
- streaming data
- reinforcement learning
- cumulative sum
- dimensionality reduction
- wireless sensor networks
- pattern recognition
- information systems
- neural network
- negative selection algorithm