Cellular user localization system: sms side-channel timing analysis method and apparatus

A system comprising:

• a short message service center (SMSC);
• and
• a mobile device, wherein:
• the mobile device is configured to receive a short message service (SMS) from the SMSC;
• the mobile device is configured to send a delivery report based on the sent SMS to the SMSC;
• the SMSC is configured to receive the delivery report;
• the SMSC is configured to provide the delivery report as an input to a pretrained machine learning model;
• the pretrained machine learning model is configured to deriving one or more fingerprints from the delivery report, thereby creating a target data model based on the one or more fingerprints;
• the pretrained machine learning model is configured to predict, based on the target data model, a location of the target device.

A system comprising:

• a computing node comprising a computer readable storage medium having program instructions embodied therewith, the program instructions executable by a processor of the computing node to cause the processor to perform a method comprising:
• sending a short message service (SMS) to a target device, via a short message service center (SMSC);
• receiving, from the target device and through the SMSC, a delivery report;
• providing the delivery report as an input to a pretrained machine learning model;
• deriving one or more fingerprints from the delivery report, thereby creating a target data model based on the one or more fingerprints;
• predicting, based on the target data model, a location of the target device.

A computer program product, the computer program product comprising a computer readable storage medium having program instructions embodied therewith, the program instructions executable by a processor to cause the processor to perform a method comprising:

• sending a short message service (SMS) to a target device, via a short message service center (SMSC);
• receiving, from the target device and through the SMSC, a delivery report;
• providing the delivery report as an input to a pretrained machine learning model;
• deriving one or more fingerprints from the delivery report, thereby creating a target data model based on the one or more fingerprints;
• predicting, based on the target data model, a location of the target device.