A nature-inspired approach to speed up optimum-path forest clustering and its application to intrusion detection in computer networks.
Kelton A. P. CostaLuís A. M. PereiraRodrigo Y. M. NakamuraClayton R. PereiraJoão P. PapaAlexandre Xavier FalcãoPublished in: Inf. Sci. (2015)
Keyphrases
- computer networks
- intrusion detection
- intrusion detection system
- nature inspired
- optimum path forest
- network traffic
- anomaly detection
- network security
- network intrusion detection
- swarm intelligence
- ant colony optimization
- metaheuristic
- k means
- clustering algorithm
- portfolio management
- data mining techniques
- communication networks
- unsupervised learning
- web intelligence
- data mining
- information security
- traveling salesman problem
- neural network
- training data
- optimization problems
- database
- learning algorithm
- feature extraction
- genetic algorithm