Timing-based anomaly detection in embedded systems.
Sixing LuMinjun SeoRoman LyseckyPublished in: ASP-DAC (2015)
Keyphrases
- embedded systems
- anomaly detection
- low cost
- intrusion detection
- detecting anomalies
- embedded devices
- network intrusion detection
- anomalous behavior
- resource limited
- computing power
- unsupervised anomaly detection
- real time systems
- intrusion detection system
- software systems
- network traffic
- embedded software
- network anomaly detection
- one class support vector machines
- network security
- field programmable gate array
- machine learning
- detecting anomalous
- artificial intelligence
- network intrusion
- detect anomalies
- feature selection
- image processing
- case study
- unsupervised learning