ANOMALY DETECTION IN TELECOMMUNICATION NETWORKS FOR IOT AND CONNECTED CARS USING SESSION, VOLUMETRIC, AND APN DATA ANALYSIS

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, whe...

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Bibliographic Details
Main Authors Koral, Yaron, Trivedi, Amee
Format Patent
LanguageEnglish
Published 07.08.2025
Subjects
ELECTRIC COMMUNICATION TECHNIQUE
ELECTRICITY
TELEPHONIC COMMUNICATION
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Summary: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.
Bibliography:Application Number: US202418430949