Anomaly detection in telecommunication networks for IoT and connected cars using session, volumetric, and APN data analysis
AssigneeAT&T Intellectual Property I, L.P.
InventorsAmee Trivedi, Yaron Koral
Life of this patent
Estimating the term…
Abstract
Aspects of the subject disclosure may include, for example, retrieving call detail record (CDR) data for a plurality of devices, each device of the plurality of devices using a subscriber identity module (SIM) to access a mobility network, identifying data anomalies for the plurality of devices, wherein the identifying the data anomalies is based on the CDR data, wherein the data anomalies may be indicative of inappropriate usage of the mobility network, identifying a device associated with a data anomaly, and initiating a modification of the device to prevent subsequent anomalies. Other embodiments are disclosed.
Claims20
A device, comprising:
- a processing system including a processor;
- and
- a memory that stores executable instructions that, when executed by the processing system, facilitate performance of operations, the operations comprising:
- retrieving call detail record (CDR) data for a plurality of devices, each device of the plurality of devices using a subscriber identity module (SIM) to access a mobility network;
- identifying data anomalies for the plurality of devices, wherein the identifying the data anomalies comprises identifying an access point name (APN) anomaly based on the CDR data, wherein the data anomalies may be indicative of inappropriate usage of the mobility network;
- identifying a device associated with a data anomaly;
- and
- initiating a modification of the device to prevent subsequent anomalies.
A non-transitory machine-readable medium, comprising executable instructions that, when executed by a processing system including a processor, facilitate performance of operations, the operations comprising:
- retrieving, from a database, session data for a plurality of communication sessions between connected vehicles of a fleet of connected vehicles and a mobility network, each connected vehicle including a subscriber identity module (SIM) to enable communication with the mobility network;
- identifying, in the session data, one or more data anomalies, the data anomalies being indicative of potential inappropriate use of the mobility network, wherein at least one of the identified data anomalies is an access point name (APN) anomaly;
- producing a visual report indicating information about the one or more data anomalies for a user associated with the fleet of vehicles;
- and
- initiating a procedure to modify a SIM associated with the one or more data anomalies to prevent subsequent data anomalies.
A method, comprising:
- accessing, by a processing system including a processor, a repository of call detail record data for a group of devices, wherein devices of the group of devices are configured for radio communication with a mobility network, wherein the call detail record data includes information about communication sessions between a device and the mobility network;
- identifying, by the processing system, one or more of a session anomaly, a volumetric anomaly and an access point network (APN) anomaly based on the call detail record data for the group of devices;
- and
- formatting, by the processing system, a user display for reporting information about the session anomaly, the volumetric anomaly, or the APN anomaly.
Dependencies are inferred from the claim text.