An end-to-end intrusion detection system with IoT dataset using deep learning with unsupervised feature extraction.
Yesi Novaria KunangSiti NurmainiDeris StiawanBhakti Yudho SupraptoPublished in: Int. J. Inf. Sec. (2024)
Keyphrases
- end to end
- deep learning
- intrusion detection system
- unsupervised learning
- feature extraction
- intrusion detection
- restricted boltzmann machine
- anomaly detection
- deep architectures
- weakly supervised
- network security
- computer networks
- unsupervised feature learning
- feature set
- distributed intrusion detection
- deep belief networks
- management system
- dimensionality reduction
- network traffic
- congestion control
- machine learning
- feature selection
- supervised learning
- ad hoc networks
- semi supervised
- feature vectors
- mental models
- topic models
- named entities
- computer systems
- feature space
- image processing
- cloud computing
- data mining techniques
- information systems
- data sets
- multiscale
- pattern recognition
- relation extraction
- object detectors
- model selection