Edge-Based Detection and Classification of Malicious Contents in Tor Darknet Using Machine Learning.
Runchuan LiShuhong ChenJiawei YangEntao LuoPublished in: Mob. Inf. Syst. (2021)
Keyphrases
- machine learning
- pattern recognition
- machine learning methods
- text classification
- decision trees
- machine learning algorithms
- supervised learning
- feature selection
- supervised machine learning
- machine learning approaches
- classification accuracy
- classification scheme
- automatic classification
- information extraction
- detection rate
- database
- support vector machine svm
- neural network
- support vector machine
- learning algorithm
- unsupervised learning
- anomaly detection
- training set
- supervised classification
- pattern classification
- classification algorithm
- spam detection
- detection method
- text mining
- mammogram images
- feature vectors
- feature extraction and classification
- microcalcification clusters
- robust detection
- model selection
- false positives
- data analysis
- multimedia
- metadata
- computer vision
- data sets