ESTIMATING THE ACCURACY OF ANOMALY DETECTION IN TELECOMMUNICATION NETWORKS BY THE MACHINE LEARNING SYSTEM
Keywords:
telecommunication network, anomaly detection, machine learning, support vector machine, artificial intelligence, monitoringAbstract
Anomaly detection in telecommunication networks is becoming more and more important. This is because of the increase in the number of unauthorized access attemps and attacks to stop the operation. The paper assesses the accuracy of anomaly detection in telecommunication networks by machine learning.