Ribbon Communications Operating Company, Inc.

Tie Ju Chen

Shaun Jaikarran Bharrat

Tolga Asveren

Sridhar Kuppanna

The present invention relates to methods, systems and apparatus for identifying and acting upon suspect robocalls. An exemplary method embodiment includes the steps of processing call records of a customer to identify calls which are possibly from a robocaller, based on at least one of i) a call characteristic or ii) a call pattern; storing calling party source identification information of the identified calls in a suspect robocall database; processing an incoming call, said processing including comparing calling party source identification information of an incoming call to the calling party source identification information in the suspect robocall database; and completing the incoming call in a standard manner if the incoming call is not in the suspect robocall database; and handling the call as a suspect robocall if the incoming calling party source identification information is in the suspect robocall database.

Methods and apparatus for detection and mitigation of robocalls

The present invention relates to communications methods and apparatus dynamically detecting and/or mitigating anomalies in communications systems/networks. An exemplary embodiment includes the steps of: processing a set of call detail records (CDRS), each CDR in said set of CDRs corresponding to an individual call and including multiple information fields providing information about the individual call to which the CDR corresponds, said processing including: generating from said CDRs, on a per CDR basis one or more Field GroupIDs using a hash function; generating for CDRs corresponding to a first Field GroupID a first set of key performance indicators (KPIs), said first set of (KPIs) including one or more KPIs corresponding to the first Field GroupID, said one or more KPIs including at least a first KPI; and determining that a first KPI violation has occurred for the first Field GroupID when the first KPI exceeds a dynamic performance threshold.

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Piscataway, NJ, United States of America

Tie Ju Chen