A Biologically-Inspired Approach to Network Traffic Classification for Resource-Constrained Systems.
Brian SchmidtDionysios KountanisAla I. Al-FuqahaPublished in: BDC (2014)
Keyphrases
- biologically inspired
- network traffic
- resource constrained
- intrusion detection
- biologically plausible
- resource constraints
- intrusion detection system
- wireless sensor networks
- sensor networks
- machine learning
- internet traffic
- anomaly detection
- feature selection
- humanoid robot
- multi modal
- feature extraction
- computer systems
- routing algorithm
- embedded systems
- text classification
- supervised learning
- training set
- network intrusion detection
- image segmentation
- spiking neural networks