A novel feature-selection approach based on the cuttlefish optimization algorithm for intrusion detection systems.
Adel Sabry EesaZeynep OrmanAdnan Mohsin Abdulazeez BrifcaniPublished in: Expert Syst. Appl. (2015)
Keyphrases
- optimization algorithm
- intrusion detection system
- feature selection
- intrusion detection
- network security
- multi objective
- anomaly detection
- computer networks
- network traffic
- network intrusion detection
- optimization method
- particle swarm optimization pso
- computer security
- differential evolution
- distributed intrusion detection
- alert correlation
- evolutionary multi objective
- intrusion prevention
- computer systems
- text classification
- network intrusion detection systems
- cyber attacks
- feature subset
- cyber security
- optimization strategy
- machine learning
- dimensionality reduction
- security architecture
- normal behavior
- hybrid optimization algorithm
- attack scenarios
- feature space
- attack detection
- honey bee
- unsupervised learning
- malicious activities
- data mining techniques
- security policies
- particle swarm optimization
- neural network
- databases