Dynamic malicious node detection with semi-supervised multivariate classification in cognitive wireless sensor networks.
Hongjun DaiHuabo LiuZhiping JiaPublished in: Concurr. Comput. Pract. Exp. (2015)
Keyphrases
- wireless sensor networks
- semi supervised
- supervised learning
- classification accuracy
- decision trees
- feature selection
- semi supervised learning algorithms
- semi supervised learning
- pattern recognition
- labeled and unlabeled data
- malicious nodes
- machine learning
- co training
- statistical tests
- multi view
- model selection
- unsupervised learning
- support vector
- active learning
- detection algorithm
- class labels
- false positives
- detection rate
- unlabeled samples
- node selection
- feature vectors
- pairwise
- support vector machine
- text classification
- label information
- digital mammograms
- anti virus
- feature space
- dynamic analysis
- object detection
- support vector machine svm
- image classification
- routing algorithm
- labeled data
- energy consumption
- anomaly detection
- information processing
- detection method