Intrusion detection using dynamic feature selection and fuzzy temporal decision tree classification for wireless sensor networks.
Periasamy NancySannasy MuthurajkumarSannasi GanapathyS. V. N. Santhosh KumarMunuswamy SelviKannan ArputharajPublished in: IET Commun. (2020)
Keyphrases
- intrusion detection
- decision trees
- feature selection
- classification models
- wireless sensor networks
- classification accuracy
- intrusion detection system
- anomaly detection
- machine learning
- network security
- network traffic
- network intrusion detection
- naive bayes
- text classification
- support vector
- model selection
- pattern recognition
- credit card fraud detection
- detecting anomalous
- information security
- feature set
- feature extraction
- high detection rate
- distributed intrusion detection
- network intrusions
- computer security
- artificial immune
- network intrusion
- network attacks
- support vector machine
- training data
- unsupervised learning
- feature space
- data mining
- face detection
- data processing
- data mining techniques
- supervised learning
- cyber security
- sensor networks
- multi class
- alert correlation
- active learning
- training set