An anomaly detection approach based on hybrid differential evolution and K-means clustering in crowd intelligence.
Jianran LiuBing LiangWen JiPublished in: Int. J. Crowd Sci. (2021)
Keyphrases
- anomaly detection
- differential evolution
- evolutionary algorithm
- optimization algorithm
- differential evolution algorithm
- intrusion detection
- particle swarm optimization
- detecting anomalies
- particle swarm optimization pso
- anomalous behavior
- mutation operator
- genetic algorithm
- network traffic
- numerical optimization problems
- network intrusion detection
- parameter optimization
- multi objective optimization
- intrusion detection system
- detect anomalies
- global optimization problems
- solving global optimization problems
- unsupervised learning
- multi objective
- k means
- crossover operator
- simulated annealing
- one class support vector machines
- network anomaly detection
- artificial neural networks
- learning algorithm
- ant colony optimization
- negative selection algorithm