Verizon Patent and Licensing Inc.

Karl Stang

Jeffrey Allen Haltom

Lulia Ann Barakat

John Hans Van Arkel

Katrina Marie Kutchko

Joe B Thornton

Yonatan Fridman

Kenneth J Mckeever

Disclosed are systems and methods for robocall steering over voice-hosted traffic networks. The disclosed framework provides novel systems and methods for increasing the accuracy and efficiency in tracking, identifying, blocking and preventing robocalls and robocallers. The disclosed systems and methods provide mechanisms for identifying and removing unwanted voice traffic from networks. The disclosed systems and methods analyze voice traffic over a predetermined period of time (e.g., 1 day or 30 days, for example), and leverage this information into a 'know your customer' (KYC) score. This score enables incoming calls to be routed, controlled and/or blocked as they are communicated over voice networks.

Computerized system and method for robocall steering

A botnet detector collects data associated with flows between a pair of network elements. The botnet detector processes the flow data to determine whether some of the flows are associated with botnet beaconing and/or tunneling. For example, the botnet detector may determine whether some of the flows occur at a regular interval or whether some of the flows are associated with extended length sessions, respectively. To determine whether some of the flows occur at a regular interval, the botnet detector may convert the flow data to the frequency domain and may determine an interval associated with a highest vector magnitude. If the botnet detector determines that the pair of network elements are exchanging beaconing or tunneling signals, the botnet detector may forward a notification that the pair of network elements are associated with the botnet.

Botnet beaconing detection and mitigation

Growing community of inventors

Manitou Springs, CO, United States of America

Karl Stang