GDLS-FS: Scaling Feature Selection for Intrusion Detection with GRASP-FS and Distributed Local Search.
Estêvão F. C. SilvaNícolas NavesSilvio E. QuincozesVagner E. QuincozesJuliano F. KazienkoOmar CheikhrouhouPublished in: AINA (2) (2023)
Keyphrases
- intrusion detection
- feature selection
- intrusion detection system
- anomaly detection
- network security
- supervised feature selection
- network traffic
- network intrusion detection
- artificial immune
- distributed intrusion detection
- cyber security
- high detection rate
- tabu search
- machine learning
- computer security
- computer networks
- information security
- text classification
- support vector
- distributed systems
- data mining
- detecting anomalous
- alert correlation
- classification accuracy
- feature extraction
- unsupervised learning
- multi class
- feature space
- dimensionality reduction
- network intrusion
- genetic algorithm
- false positives and false negatives
- object recognition
- intrusion prevention
- simulated annealing
- data mining techniques
- mobile agents