At&t Intellectual Property I, LP

Lukasz Grabarski

Yaron Koral

Lauro Lins

The disclosed technology is directed towards detecting suspected malicious activity involving mobile devices and subscriber identity module (SIM) cards, including discerning benign SIM swap events from likely malicious SIM swap events. In one example, call detail records, radio access network events and billing events are collected and analyzed to detect subscriber identity module swap events between mobile devices. Based on the collected data and related data sources SIM swap events are classified as benign or suspected malicious classifications. Malicious classifications can result in information representative of the suspected as malicious classification being output, e.g., as a type of fraudulent activity. A confidence level can be associated with classification output data, including for types of fraudulent activities and types of benign activities.

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Duvall, WA, United States of America

Lukasz Grabarski