Metaheuristic feature selection with deep learning enabled cascaded recurrent neural network for anomaly detection in Industrial Internet of Things environment.
Nenavath ChanderMummadi Upendra KumarPublished in: Clust. Comput. (2023)
Keyphrases
- anomaly detection
- metaheuristic
- deep learning
- recurrent neural networks
- unsupervised learning
- feature selection
- intrusion detection
- tabu search
- simulated annealing
- ant colony optimization
- optimization problems
- search space
- genetic algorithm
- network traffic
- machine learning
- optimal solution
- particle swarm optimization
- intrusion detection system
- artificial neural networks
- sparse pca
- neural network
- feed forward
- supervised learning
- feature space
- semi supervised
- detect anomalies
- text classification
- computer vision
- search algorithm
- face recognition
- data sets
- dimensionality reduction
- data mining
- weakly supervised
- learning algorithm
- support vector
- object recognition
- pairwise
- multi objective
- multi class
- model selection
- maximum likelihood