公开(公告)号：AU2017305245B2

公开(公告)日：2021-12-16

申请号：AU2017305245

申请日：2017-08-01

Applicant: PINDROP SECURITY INC

Inventor： GAUBITCH NICK ,  STRONG SCOTT ,  CORNWELL JOHN ,  KINGRAVI HASSAN ,  DEWEY DAVID

IPC: H04M3/22 ,  H04M7/12 ,  H04Q1/45

Abstract: Systems, methods, and computer-readable media for call classification and for training a model for call classification, an example method comprising: receiving DTMF information from a plurality of calls; determining, for each of the calls, a feature vector including statistics based on DTMF information such as DTMF residual signal comprising channel noise and additive noise; training a model for classification; comparing a new call feature vector to the model; predicting a device type and geographic location based on the comparison of the new call feature vector to the model; classifying the call as spoofed or genuine; and authenticating a call or altering an IVR call flow.

公开(公告)号：AU2022201831A1

公开(公告)日：2022-04-07

申请号：AU2022201831

申请日：2022-03-16

Applicant: PINDROP SECURITY INC

Inventor： GAUBITCH NICK ,  STRONG SCOTT ,  CORNWELL JOHN ,  KINGRAVI HASSAN ,  DEWEY DAVID

IPC: H04M3/22 ,  H04M7/12 ,  H04Q1/45

Abstract: Systems, methods, and computer-readable media for call classification and for training a model for call classification, an example method comprising: receiving DTMF information from a plurality of calls; determining, for each of the calls, a feature vector including statistics based on DTMF information such as DTMF residual signal comprising channel noise and additive noise; training a model for classification; comparing a new call feature vector to the model; predicting a device type and geographic location based on the comparison of the new call feature vector to the model; classifying the call as spoofed or genuine; and authenticating a call or altering an IVR call flow.

公开(公告)号：CA3032807C

公开(公告)日：2023-01-03

申请号：CA3032807

申请日：2017-08-01

Applicant: PINDROP SECURITY INC

Inventor： GAUBITCH NICK ,  STRONG SCOTT ,  CORNWELL JOHN ,  KINGRAVI HASSAN ,  DEWEY DAVID

IPC: H04M3/22 ,  H04M7/12 ,  H04Q1/45

Abstract: Systems, methods, and computer-readable media for call classification and for training a model for call classification, an example method comprising: receiving DTMF information from a plurality of calls; determining, for each of the calls, a feature vector including statistics based on DTMF information such as DTMF residual signal comprising channel noise and additive noise; training a model for classification; comparing a new call feature vector to the model; predicting a device type and geographic location based on the comparison of the new call feature vector to the model; classifying the call as spoofed or genuine; and authenticating a call or altering an IVR call flow.

公开(公告)号：AU2017305245A1

公开(公告)日：2019-03-07

申请号：AU2017305245

申请日：2017-08-01

Applicant: PINDROP SECURITY INC

Inventor： GAUBITCH NICK ,  STRONG SCOTT ,  CORNWELL JOHN ,  KINGRAVI HASSAN ,  DEWEY DAVID

IPC: H04M3/22 ,  H04M7/12 ,  H04Q1/45

Abstract: Systems, methods, and computer-readable media for call classification and for training a model for call classification, an example method comprising: receiving DTMF information from a plurality of calls; determining, for each of the calls, a feature vector including statistics based on DTMF information such as DTMF residual signal comprising channel noise and additive noise; training a model for classification; comparing a new call feature vector to the model; predicting a device type and geographic location based on the comparison of the new call feature vector to the model; classifying the call as spoofed or genuine; and authenticating a call or altering an IVR call flow.

公开(公告)号：CA3032807A1

公开(公告)日：2018-02-08

申请号：CA3032807

申请日：2017-08-01

Applicant: PINDROP SECURITY INC

Inventor： GAUBITCH NICK ,  STRONG SCOTT ,  CORNWELL JOHN ,  KINGRAVI HASSAN ,  DEWEY DAVID

IPC: H04M3/22 ,  H04M7/12 ,  H04Q1/45

Abstract: Systems, methods, and computer-readable media for call classification and for training a model for call classification, an example method comprising: receiving DTMF information from a plurality of calls; determining, for each of the calls, a feature vector including statistics based on DTMF information such as DTMF residual signal comprising channel noise and additive noise; training a model for classification; comparing a new call feature vector to the model; predicting a device type and geographic location based on the comparison of the new call feature vector to the model; classifying the call as spoofed or genuine; and authenticating a call or altering an IVR call flow.