SDN Controllers and ML-Based Anomaly Detection in Embedded Systems: A Comparative Analysis.
Carlos GonzalezSalim Mahamat CharfadinePublished in: WINCOM (2023)
Keyphrases
- anomaly detection
- embedded systems
- maximum likelihood
- intrusion detection
- low cost
- computing power
- detecting anomalies
- embedded software
- anomalous behavior
- control system
- resource limited
- network traffic
- network intrusion detection
- embedded devices
- network anomaly detection
- software systems
- detect anomalies
- intrusion detection system
- detecting anomalous
- one class support vector machines
- field programmable gate array
- unsupervised learning
- reinforcement learning
- real world
- case study
- network security
- software engineering
- connectionist systems