公开(公告)号：US20220239707A1

公开(公告)日：2022-07-28

申请号：US17659509

申请日：2022-04-18

申请人： Verizon Patent and Licensing Inc.

发明人： Daniel Chen ,  Federico Zarfati ,  Stuart R. Burkhart ,  Chiang Ming Yang ,  Aude Claire Marzuoli

IPC分类号： H04L65/1076 ,  G06N20/00

摘要： A system described herein may provide a technique for Embodiments described herein provide for the use of machine learning, artificial intelligence, and/or other techniques for network-implemented spam call detection. Calls may be screened prior to notifying a called User Equipment (“UE”) that a call has been placed to the called UE. A Machine Learning Spam Detection Component (“MLSDC”) may screen a call, such as a voice call, by initiating a call session between the MLSDC and a calling UE, from which the call was requested. Via the established call session, the MLSDC may receive communications, such as voice communications, from the UE, and may determine a measure of likelihood that the call request is associated with spam by using machine learning or other techniques to compare the received communications against one or more models that indicate attributes of calls that have been identified as spam.

公开(公告)号：US11330023B2

公开(公告)日：2022-05-10

申请号：US16899790

申请日：2020-06-12

申请人： Verizon Patent and Licensing Inc.

发明人： Daniel Chen ,  Federico Zarfati ,  Stuart R. Burkhart ,  Chiang Ming Yang ,  Aude Claire Marzuoli

IPC分类号： H04L65/1076 ,  G06N20/00 ,  H04W80/10

摘要： A system described herein may provide a technique for Embodiments described herein provide for the use of machine learning, artificial intelligence, and/or other techniques for network-implemented spam call detection. Calls may be screened prior to notifying a called User Equipment (“UE”) that a call has been placed to the called UE. A Machine Learning Spam Detection Component (“MLSDC”) may screen a call, such as a voice call, by initiating a call session between the MLSDC and a calling UE, from which the call was requested. Via the established call session, the MLSDC may receive communications, such as voice communications, from the UE, and may determine a measure of likelihood that the call request is associated with spam by using machine learning or other techniques to compare the received communications against one or more models that indicate attributes of calls that have been identified as spam.

公开(公告)号：US11909782B2

公开(公告)日：2024-02-20

申请号：US17659509

申请日：2022-04-18

申请人： Verizon Patent and Licensing Inc.

发明人： Daniel Chen ,  Federico Zarfati ,  Stuart R. Burkhart ,  Chiang Ming Yang ,  Aude Claire Marzuoli

IPC分类号： H04L65/1076 ,  G06N20/00 ,  H04W80/10

CPC分类号： H04L65/1079 ,  G06N20/00 ,  H04W80/10

摘要： A system described herein may provide a technique for Embodiments described herein provide for the use of machine learning, artificial intelligence, and/or other techniques for network-implemented spam call detection. Calls may be screened prior to notifying a called User Equipment (“UE”) that a call has been placed to the called UE. A Machine Learning Spam Detection Component (“MLSDC”) may screen a call, such as a voice call, by initiating a call session between the MLSDC and a calling UE, from which the call was requested. Via the established call session, the MLSDC may receive communications, such as voice communications, from the UE, and may determine a measure of likelihood that the call request is associated with spam by using machine learning or other techniques to compare the received communications against one or more models that indicate attributes of calls that have been identified as spam.

公开(公告)号：US20210392173A1

公开(公告)日：2021-12-16

申请号：US16899790

申请日：2020-06-12

申请人： Verizon Patent and Licensing Inc.

发明人： Daniel Chen ,  Federico Zarfati ,  Stuart R. Burkhart ,  Chiang Ming Yang ,  Aude Claire Marzuoli

IPC分类号： H04L29/06 ,  G06N20/00

摘要： A system described herein may provide a technique for Embodiments described herein provide for the use of machine learning, artificial intelligence, and/or other techniques for network-implemented spam call detection. Calls may be screened prior to notifying a called User Equipment (“UE”) that a call has been placed to the called UE. A Machine Learning Spam Detection Component (“MLSDC”) may screen a call, such as a voice call, by initiating a call session between the MLSDC and a calling UE, from which the call was requested. Via the established call session, the MLSDC may receive communications, such as voice communications, from the UE, and may determine a measure of likelihood that the call request is associated with spam by using machine learning or other techniques to compare the received communications against one or more models that indicate attributes of calls that have been identified as spam.