ROGUE BASE STATION ROUTER DETECTION WITH MACHINE LEARNING ALGORITHMS

摘要

This application is directed to a method for detecting if a cellular attack from a rogue base station router (RBRS) on a cellular network is active. The method includes a step of surveying the network to obtain broadcast data. The method also includes a step of determining that a base station router (BSR) in the network is the RBSR based on execution of a machine learning algorithm using the broadcast data. The method also includes a step of determining that an event associated with a cellular attack is present in the network. The method further includes a step of determining that the cellular attack from the RBSR on the network is active based on the determined RBSR and the determined event associated with a cellular attack.