Identifying the most accurate machine learning classification technique to detect network threats.
Mohamed FaroukRasha H. SakrNoha HikalPublished in: Neural Comput. Appl. (2024)
Keyphrases
- machine learning
- machine learning methods
- pattern recognition
- text classification
- feature selection
- support vector machine
- accurate classification
- supervised machine learning
- decision trees
- classification accuracy
- machine learning algorithms
- machine learning approaches
- model selection
- detection algorithm
- supervised learning
- classification method
- network traffic
- complex networks
- peer to peer
- supervised classification
- automatic classification
- training set
- feature space
- computer networks
- classification algorithm
- denial of service attacks
- networked data
- worm detection
- data mining
- cyber attacks
- classification scheme
- security threats
- network structure
- class labels
- unsupervised learning
- active learning
- feature vectors
- support vector
- computer vision
- community structure
- pattern classification
- support vector machine svm
- image classification
- natural language processing
- information extraction
- reinforcement learning
- neural network