A Biologically Inspired Denial of Service Detector Using the Random Neural Network.
Georgios LoukasGülay ÖkePublished in: MASS (2007)
Keyphrases
- biologically inspired
- neural network
- dos attacks
- denial of service
- learning rules
- recurrent networks
- biologically plausible
- denial of service attacks
- network security
- receptive fields
- lightweight
- spiking neural networks
- back propagation
- ddos attacks
- biological systems
- potential field
- humanoid robot
- artificial neural networks
- neural network model
- sensory motor
- unsupervised learning
- high dimensional
- colour image segmentation
- motor control
- network architecture
- feed forward
- distributed systems