Towards Scalable EM-based Anomaly Detection For Embedded Devices Through Synthetic Fingerprinting.
Kurt A. VedrosGeorgios Michail MakrakisConstantinos KoliasRobert C. IvansCraig RiegerPublished in: CoRR (2023)
Keyphrases
- anomaly detection
- embedded devices
- unsupervised learning
- embedded systems
- limited memory
- intrusion detection
- mobile devices
- detecting anomalies
- network intrusion detection
- anomalous behavior
- detect anomalies
- expectation maximization
- network traffic
- negative selection algorithm
- one class support vector machines
- intrusion detection system
- network anomaly detection
- network security
- data storage
- databases
- real time
- memory space
- model selection
- dimensionality reduction
- flash memory
- k means
- pairwise
- feature space
- data analysis