PESKEA: Anomaly Detection Framework for Profiling Kernel Event Attributes in Embedded Systems.
Okwudili M. EzemeAkramul AzimQusay H. MahmoudPublished in: IEEE Trans. Emerg. Top. Comput. (2021)
Keyphrases
- anomaly detection
- embedded systems
- intrusion detection
- network intrusion detection
- anomalous behavior
- network traffic
- resource limited
- detecting anomalies
- unsupervised learning
- intrusion detection system
- computing power
- embedded devices
- support vector
- negative selection algorithm
- network anomaly detection
- embedded software
- low cost
- feature space
- one class support vector machines
- artificial intelligence
- detecting anomalous