Hidden Markov models on a self-organizing map for anomaly detection in 802.11 wireless networks.
Anisa AllahdadiDiogo PernesJaime S. CardosoRicardo MorlaPublished in: Neural Comput. Appl. (2021)
Keyphrases
- wireless networks
- hidden markov models
- self organizing maps
- anomaly detection
- unsupervised learning
- network anomaly detection
- intrusion detection
- neural network
- speech recognition
- input data
- network traffic
- network intrusion detection
- k means
- conditional random fields
- supervised learning
- feature selection
- intrusion detection system
- natural language processing
- data sets
- network security
- audio signals