Data Analytics of Network Intrusion Based on Deep Neural Networks with Weights Initialized by Stacked Autoencoders and Deep Belief Networks.
Lidong WangReed L. MosherPatti DuettTerril C. FallsPublished in: CCWC (2023)
Keyphrases
- deep belief networks
- network intrusion
- data analytics
- neural network
- unsupervised learning
- network intrusion detection
- deep learning
- intrusion detection
- restricted boltzmann machine
- probabilistic model
- hierarchical models
- anomaly detection
- fraud detection
- network security
- data mining techniques
- sparse coding
- generative model
- machine learning
- big data
- open source
- linear combination
- artificial neural networks
- approximate inference
- data mining
- hierarchical model
- cloud computing
- data analysis
- business intelligence
- hidden layer
- probabilistic graphical models
- graphical models
- back propagation
- model selection
- object recognition
- multilayer perceptron
- learning algorithm
- data sources
- social network analysis
- supervised learning
- real world