Anomaly Detection in Embedded Devices Through Hardware Introspection.
David Llanio ReyesAlexander Perez-PonsRogelio Bofill DeanPublished in: SVCC (2023)
Keyphrases
- embedded devices
- anomaly detection
- embedded systems
- intrusion detection
- mobile devices
- detecting anomalies
- low cost
- anomalous behavior
- network traffic
- intrusion detection system
- network intrusion detection
- limited memory
- detect anomalies
- flash memory
- network anomaly detection
- data storage
- one class support vector machines
- network security
- negative selection algorithm
- cumulative sum
- machine learning
- sliding window
- bayesian networks