Anomaly Prediction Based on k-Means Clustering for Memory-Constrained Embedded Devices.
Yuto KitagawaTasuku IshigokaTakuya AzumiPublished in: ICMLA (2017)
Keyphrases
- embedded devices
- limited memory
- embedded systems
- flash memory
- consumer electronics
- memory space
- anomaly detection
- mobile devices
- home automation
- home appliances
- real time
- databases
- intrusion detection
- main memory
- data storage
- random access
- memory requirements
- security protocols
- sliding window
- operating system
- low cost
- nearest neighbor
- data sets