Anomaly Detection in Embedded Systems Using Power and Memory Side Channels.
Jiho ParkVirinchi Roy SurabhiPrashanth KrishnamurthySiddharth GargRamesh KarriFarshad KhorramiPublished in: ETS (2020)
Keyphrases
- anomaly detection
- embedded systems
- computing power
- low cost
- intrusion detection
- flash memory
- embedded devices
- anomalous behavior
- detecting anomalies
- computational power
- network intrusion detection
- network traffic
- embedded software
- power consumption
- detecting anomalous
- intrusion detection system
- negative selection algorithm
- network anomaly detection
- one class support vector machines
- software systems
- unsupervised learning
- network security
- active learning
- protocol stack
- information systems
- cumulative sum
- detect anomalies
- instruction set
- computer networks
- main memory
- feature extraction