An Effective Detection and Classification Approach for DoS Attacks in Wireless Sensor Networks Using Deep Transfer Learning Models and Majority Voting.
Safa Ben AtitallahMaha DrissWadii BoulilaIman M. AlmomaniPublished in: ICCCI (CCIS Volume) (2022)
Keyphrases
- majority voting
- learning models
- classification models
- wireless sensor networks
- dos attacks
- ensemble classifier
- machine learning algorithms
- machine learning
- ensemble methods
- classifier ensemble
- knn
- learning algorithm
- learning problems
- support vector machine
- classification accuracy
- network security
- decision trees
- training set
- feature selection
- anomaly detection
- feature extraction
- loss function
- information retrieval
- support vector
- image segmentation
- data sets
- learning tasks
- conditional random fields
- semi supervised learning
- k nearest neighbor
- graphical models
- supervised learning
- knowledge discovery
- similarity measure
- feature space