Evaluating Machine Learning Classifier Approaches, and their Accuracy for the Detection of Cyberattacks on 5G IoT Systems.
Adem RosicPublished in: CoRR (2023)
Keyphrases
- machine learning
- management system
- detection accuracy
- support vector machine classifier
- learning systems
- machine learning approaches
- high accuracy
- discriminative classifiers
- learning algorithm
- error rate
- multiple classifier systems
- machine learning methods
- detection rate
- machine learning algorithms
- support vector machine
- training data
- decision trees
- object detection
- pattern recognition
- feature selection
- knn
- expert systems
- higher classification accuracy
- anomaly detection
- artificial intelligence
- roc analysis
- false negative
- inductive logic programming
- data mining
- statistical methods
- significantly improves the accuracy
- false positives
- prediction accuracy
- detection method
- detection algorithm
- cloud computing
- distributed systems
- supervised learning
- active learning
- training set
- data analysis
- reinforcement learning
- feature extraction