An Optimization Method for Intrusion Detection Classification Model Based on Deep Belief Network.
Peng WeiYufeng LiZhen ZhangTao HuZiyong LiDiyang LiuPublished in: IEEE Access (2019)
Keyphrases
- intrusion detection
- optimization method
- anomaly detection
- intrusion detection system
- optimization algorithm
- network security
- network intrusion detection
- network traffic
- pattern recognition
- differential evolution
- evolutionary algorithm
- classification accuracy
- decision trees
- genetic algorithm
- detecting anomalous
- feature extraction
- machine learning
- data mining
- image classification
- text classification
- data mining techniques
- simulated annealing
- multi objective
- supervised learning
- support vector machine
- learning algorithm
- unsupervised learning
- metaheuristic
- feature vectors
- feature space
- density estimation
- information retrieval