Machine Learning and Deep Learning Approaches in The Detection of Network Anomalies and SMS Spammers

Abstract

Machine learning and deep learning techniques have a wider scope in the network data management. They have a greater purview in the detection of network anomalies. They can be used for analyzing the traffic, faults in the mobile network and for understanding the environment of mobile users. Machine learning algorithms can also be applied in the detection of SMS spammers as well. To understand the network anomalies and security issues in the cellular network, several papers are studied. This serves the mobile network provider in the resource management and ensures the security of the users.