Non-invasive embedded system hardware/firmware anomaly detection based on the electric current signature.
José Paulo G. de OliveiraCarmelo J. A. Bastos FilhoSérgio Campello OliveiraPublished in: Adv. Eng. Informatics (2022)
Keyphrases
- anomaly detection
- intrusion detection
- detecting anomalies
- anomalous behavior
- computer security
- network intrusion detection
- detecting anomalous
- network traffic
- intrusion detection system
- unsupervised anomaly detection
- behavior analysis
- detect anomalies
- unsupervised learning
- computer systems
- network security
- malware detection
- one class support vector machines
- network anomaly detection
- negative selection algorithm
- ibm zenterprise
- supervised learning
- pattern recognition
- image processing
- feature selection
- computer vision
- neural network