SIMBIoTA-ML: Light-weight, Machine Learning-based Malware Detection for Embedded IoT Devices.
Dorottya PappGergely ÁcsRoland NagyLevente ButtyánPublished in: IoTBDS (2022)
Keyphrases
- lightweight
- malware detection
- machine learning
- embedded systems
- communication infrastructure
- malicious executables
- anomaly detection
- smart camera
- maximum likelihood
- pattern recognition
- everyday objects
- mobile devices
- application programming interface
- rfid tags
- learning algorithm
- smart objects
- model selection
- feature selection
- information systems
- ubiquitous computing
- text classification
- low cost
- management system
- active learning
- reinforcement learning
- data mining