A Hybrid Clustering Approach Based on Fuzzy Logic and Evolutionary Computation for Anomaly Detection.
Shakhnaz AkhmedovaVladimir StanovovYukihiro KamiyaPublished in: Algorithms (2022)
Keyphrases
- anomaly detection
- evolutionary computation
- fuzzy logic
- evolutionary algorithm
- computational intelligence
- genetic programming
- intrusion detection
- machine learning and data mining
- soft computing
- anomalous behavior
- unsupervised learning
- detecting anomalies
- network intrusion detection
- fuzzy systems
- genetic algorithm
- network traffic
- swarm intelligence
- intrusion detection system
- decision making
- detect anomalies
- negative selection algorithm
- optimisation problems
- fitness function
- network anomaly detection
- one class support vector machines
- cumulative sum
- nature inspired algorithms
- control system
- expert systems
- differential evolution
- fuzzy sets
- semi supervised
- data points
- feature extraction