Construction of High Precision RBFNN with Low False Alarm for Detecting Flooding Based Denial of Service Attacks Using Stochastic Sensitivity Measure.
Wing W. Y. NgAki P. F. ChanDaniel S. YeungEric C. C. TsangPublished in: ICMLC (2005)
Keyphrases
- high precision
- false alarms
- denial of service attacks
- rbfnn
- sensitivity analysis
- false alarm rate
- achieve high precision
- radial basis function neural network
- high recall
- rbf neural network
- detection rate
- function approximation
- dos attacks
- intrusion detection system
- pattern classification
- false positives
- neural network
- hybrid algorithm
- radial basis function
- security threats
- object recognition
- face detection
- data mining techniques
- high accuracy