Improving Anomalous Rare Attack Detection Rate for Intrusion Detection System Using Support Vector Machine and Genetic Programming.
Muhammad Syafiq Mohd PoziMd Nasir SulaimanNorwati MustaphaThinagaran PerumalPublished in: Neural Process. Lett. (2016)
Keyphrases
- detection rate
- intrusion detection system
- genetic programming
- normal behavior
- anomaly detection
- intrusion detection
- support vector machine
- attack detection
- misuse detection
- face detection
- high detection rate
- false positives
- false positive rate
- attack scenarios
- detection algorithm
- network security
- false alarms
- false alarm rate
- alert correlation
- network intrusion detection
- denial of service attacks
- computer networks
- network attacks
- low false positive rate
- network intrusions
- distributed intrusion detection
- network traffic
- cyber attacks
- computational cost
- normal traffic
- security measures
- network intrusion
- evolutionary algorithm
- false detection rate
- low false alarm rate
- data mining
- genetic algorithm
- training data
- feature space
- dos attacks
- support vector
- cyber security
- learning algorithm
- computer systems
- detection method
- feature vectors
- object recognition
- knowledge discovery
- computer vision
- knn
- multi class