A comparative evaluation of unsupervised deep architectures for intrusion detection in sequential data streams.
Dusan SoviljPaul BudnarainScott SannerGeoff SalmonMohan RaoPublished in: Expert Syst. Appl. (2020)
Keyphrases
- comparative evaluation
- intrusion detection
- sequential data
- deep architectures
- unsupervised learning
- hidden markov models
- deep learning
- anomaly detection
- intrusion detection system
- fixed length
- network traffic
- network security
- pattern mining
- network intrusion detection
- data mining
- sequential patterns
- sequence data
- sequential pattern mining
- spatio temporal
- pattern discovery
- data streams
- neural nets
- data mining techniques
- machine learning
- object recognition
- data sets
- variable length
- streaming data
- pattern recognition
- supervised learning
- deep belief networks
- neural network