18472305. TRACKING IN-SERVICE IP PHONES USING MACHINE LEARNING (Saudi Arabian Oil Company)

TRACKING IN-SERVICE IP PHONES USING MACHINE LEARNING

Organization Name

Saudi Arabian Oil Company

Inventor(s)

Kashif Khawaja of Dhahran SA

Irslan Siddiq of Dhahran SA

TRACKING IN-SERVICE IP PHONES USING MACHINE LEARNING

This abstract first appeared for US patent application 18472305 titled 'TRACKING IN-SERVICE IP PHONES USING MACHINE LEARNING

Original Abstract Submitted

A method of determining whether an end user device coupled to a voice over Internet Protocol (VOIP) network is online or offline assembling source data from a variety of network monitoring devices and services including at least one selected from the group consisting of: of asset inventories, VoIP Call Control Servers, routers, firewalls, and intrusion protection systems (IPSs) concerning an online and offline status of a plurality of end user device in the network. The method also comprises training a machine learning algorithm using the source data to determine whether the end user devices coupled to the VoIP network are online or offline, and after training, executing the machine learning algorithm to determine whether a specific end user device currently coupled to the VoIP network is online or offline.